9.8 Shape and Structure from Perspective Effects, Vanishing Points, Detection

Chapter Contents (Back)
Projective Analysis. Perspective Effects. Shape from Perspective. Vanishing Points. See also Camera Calibration, Perspective Based, Vanishing Points. Also camera calibration from an object shares a lot ( See also Camera Calibration Using Calibration Object, or Known Features. ). See also Ground Plane Detection.

Barnard, S.T.[Stephen T.],
Interpreting Perspective Images,
AI(21), No. 4, November 1983, pp. 435-462.
Elsevier DOI BibRef 8311
Earlier:
Methods for Interpreting Perspective Images,
DARPA82(193-203). (SRI work) Use the perspective transform to generate the vanishing points from near parallel lines in an image and us these to determine the 3-D structure. There is a lot of going between different representations and inverting transforms to get the answer. BibRef

Barnard, S.T.[Stephen T.], Pentland, A.P.,
Three-Dimensional Shape from Line Drawings,
DARPA83(282-284). BibRef 8300
And: IJCAI83(1062-1064). BibRef

Barnard, S.T.,
Choosing a Basis for Perceptual Space,
CVGIP(29), No. 1, January 1985, pp. 87-99.
WWW Link. BibRef 8501 CVWS84(225-230). Also in a DARPA proceedings. This is one step past See also Methods for Interpreting Perspective Images. BibRef

Magee, M.J., and Aggarwal, J.K.,
Determining Vanishing Points from Perspective Images,
CVGIP(26), No. 2, May 1984, pp. 256-267.
WWW Link. Simpler method than used by See also Methods for Interpreting Perspective Images. Hough Transform based. BibRef 8405

Quan, L., and Mohr, R.,
Determining Perspective Structures using Hierarchical Hough Transform,
PRL(9), 1989, pp. 279-286. Vanishing points. BibRef 8900

Barry, M.[Michele], Cyrluk, D.A.[David A.], Kapur, D.[Deepak], Mundy, J.L.[Joseph L.], and Nguyen, V.D.[Van-Duc],
A multi-level geometric reasoning system for vision,
AI(37), No. 1-3, December, 1988, pp. 291-332.
WWW Link. BibRef 8812

Cyrluk, D.A., Kapur, D.,
Reasoning About Nonlinear Inequality Constraints: A Multi-Level Approach,
DARPA89(904-915). BibRef 8900

Cyrluk, D.A., Kapur, D., Mundy, J.L.,
Algebraic Reasoning in View Consistency and Parameterized Model Matching Problems,
DARPA88(731-739). BibRef 8800

Cyrluk, D.A., Kapur, D., Mundy, J.L., and Nguyen, V.D.,
The Formation of Partial 3D Models from 2D Projections: An Application of Algebraic Reasoning,
DARPA87(798-809). BibRef 8700

Aloimonos, Y.,
Perspective Approximations,
IVC(8), No. 3, August 1990, pp. 179-192.
WWW Link. BibRef 9008

Kanatani, K.I.,
Computational Projective Geometry,
CVGIP(54), No. 3, November 1991, pp. 333-348.
WWW Link. Detailed discussion of projective geometry. BibRef 9111

Kanatani, K.I.,
Hypothesizing and Testing Geometric Properties of Image Data,
CVGIP(54), No. 3, November 1991, pp. 349-357.
WWW Link. BibRef 9111
Earlier:
Hypothesizing and Testing Geometric Attributes of Image Data,
ICCV90(370-373).
IEEE DOI BibRef

Haralick, R.M.,
Using Perspective Transformations in Scene Analysis,
CGIP(13), No. 3, July 1980, pp. 191-221.
WWW Link. BibRef 8007

Haralick, R.M.,
Monocular Vision Using Inverse Perspective Projection Geometry: Analytic Relations,
CVPR89(370-378).
IEEE DOI Basic geometric properties. BibRef 8900

Lee, S.J.[Shih Jong], Haralick, R.M., and Zhang, M.C.[Ming Chua],
Understanding Objects with Curved Surfaces from a Single Perspective View of Boundaries,
AI(26), No. 2, May 1985, pp. 145-169.
WWW Link. BibRef 8505

Haralick, R.M., Chu, Y.H., Watson, L.T., Shapiro, L.G.,
Matching Wire Frame Objects from Their Two Dimensional Perspective Projections,
PR(17), No. 6, 1984, pp. 607-619.
WWW Link. BibRef 8400

Mulgaonkar, P.G., (SRI), Shapiro, L.G., and Haralick, R.M.,
Shape from Perspective: A Rule-Based Approach,
CVGIP(36), No. 2/3, November/December 1986, pp. 298-320.
WWW Link. BibRef 8611
Earlier: A1, A2 Only:
Hypothesis-Based Geometric Reasoning About Perspective Images,
CVWS85(11-18). The use of "synthetic data," based on his thesis, but similar to See also Methods for Interpreting Perspective Images. BibRef

Mitsumoto, H., Tamura, S., Okazaki, K., Kajimi, N., and Fukui, Y.,
3-D Reconstruction Using Mirror Images Based on a Plane Symmetry Recovering Method,
PAMI(14), No. 9, September 1992, pp. 941-946.
IEEE DOI Start with the object an a mirrored view of the object, find correspondences and symmetries. BibRef 9209

Shakunaga, T., and Kaneko, H.,
Perspective Angle Transform: Principle of Shape from Angles,
IJCV(3), No. 3, September 1989, pp. 239-254.
Springer DOI BibRef 8909
Earlier:
Shape From Angles Under Perspective Projection,
ICCV88(671-678).
IEEE DOI BibRef
Earlier:
Perspective Angle Transform and Its Application to 3-D Configuration Recovery,
CVPR86(594-601). Pose Estimation. Similar technique to: See also New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint, A. BibRef

Shakunaga, T.,
3-D Corridor Scene Modeling from a Single View under Natural Lighting Conditions,
PAMI(14), No. 2, February 1992, pp. 293-298.
IEEE DOI Perspective analysis, etc. BibRef 9202

Liou, S.P., Jain, R.C.,
Road Following Using Vanishing Points,
CVGIP( 39), No. 1, July 1987, pp. 116-130.
WWW Link. BibRef 8707
Earlier: CVPR86(41-46). Simple road following. BibRef

Straforini, M., Coelho, C., Campani, M., and Torre, V.,
The Recovery and Understanding of a Line Drawing from Indoor Scenes,
PAMI(14), No. 2, February 1992, pp. 298-303.
IEEE DOI BibRef 9202
And:
Using Geometrical Rules and a Priori Knowledge for the Understanding of Indoor Scenes,
Robust90(xx). BibRef
And: A2, A1, A3: BMVC90(xx-yy).
PDF File. 9009
(University of Genoa, Italy) BibRef

Olivieri, P.[Paolo], Gatti, M.[Maurizio], Straforini, M.[Marco], Torre, V.[Vincent],
A method for the 3D reconstruction of indoor scenes from monocular images,
ECCV92(696-700).
Springer DOI 9205
BibRef

Straforini, M., Coelho, C., Campani, M.,
Extraction of Vanishing Points from Images of Indoor and Outdoor Scenes,
IVC(11), No. 2, March 1993, pp. 91-99.
WWW Link. BibRef 9303

Belluta, P., Collini, G., Verri, A., and Torre, V.,
3D Visual Information from Vanishing Points,
3DWS89(41-49). BibRef 8900

Weiss, R.S., Nakatani, H., and Riseman, E.M.,
An Error Analysis for Surface Orientation from Vanishing Points,
PAMI(12), No. 12, December 1990, pp. 1179-1185.
IEEE DOI Shape, Three-Dimensional - Evaluation. Builds on See also Methods for Interpreting Perspective Images. BibRef 9012

Collins, R.T., Weiss, R.S.,
Deriving Line and Surface Orientation by Statistical Methods,
DARPA90(433-438). BibRef 9000

Collins, R.T., Weiss, R.S.,
Vanishing Point Calculation as a Statistical Inference on the Unit Sphere,
ICCV90(400-403).
IEEE DOI BibRef 9000

Nakatani, H., and Kitahashi, T.,
Determination of Vanishing Point in Outdoor Scene,
IEICE(64), No. 5, 1981, pp0. 357-358. BibRef 8100

Nakatani, H., Kimura, S., Saito, O., and Kitahashi, T.,
Extraction of Vanishing Point and Its Application to Scene Analysis Based on Image Sequence,
ICPR80(370-372). BibRef 8000

Brillault-O'Mahony, B.,
New Method for Vanishing Point Detection,
CVGIP(54), No. 2, September 1991, pp. 289-300.
WWW Link. Hough (accumulator space) based technique. BibRef 9109

Brillault-O'Mahony, B.,
High Level 3D Structures from a Single View,
IVC(10), No. 7, September 1992, pp. 508-520.
WWW Link. BibRef 9209

Ferri, M., Mangili, F., Viano, G.,
Projective Pose Estimation of Linear and Quadratic Primitives in Monocular Computer Vision,
CVGIP(58), No. 1, July 1993, pp. 66-84.
WWW Link. BibRef 9307

Lutton, E.[Evelyne], Maitre, H.[Henri], and Lopez Krahe, J.[Jaime],
Contribution to the Determination of Vanishing Points Using Hough Transform,
PAMI(16), No. 4, April 1994, pp. 430-438.
IEEE DOI Hough Transform. See also Contribution to the Prediction of Performances of the Hough Transform. BibRef 9404

Lutton, E.[Evelyne],
3D Model based stereo reconstruction using coupled Markov random fields,
CAIP93(494-501).
Springer DOI 9309
BibRef

Zimmerman, G.L., Legge, G.E., Cavanagh, P.,
Pictorial Depth Cues: A New Slant,
JOSA-A(12), No. 1, January 1995, pp. 17-26. BibRef 9501

Chabbi, H., Berger, M.O.,
Using Projective Geometry to Recover Planar Surfaces in Stereovision,
PR(29), No. 4, April 1996, pp. 533-548. BibRef 9604
Earlier:
WWW Link.
Recovering Planar Surfaces by Stereovision Based on Projective Geometry,
CVPR93(649-650).
IEEE DOI BibRef

Tai, A.T., Kittler, J.V., Petrou, M., Windeatt, T.,
Vanishing Point Detection,
IVC(11), No. 4, May 1993, pp. 240-245.
WWW Link. BibRef 9305
Earlier: BMVC92(109-118).
PDF File. BibRef

Palmer, P.L., Tai, A.T.,
An Optimised Vanishing Point Detector,
BMVC93(529-538).
PDF File. BibRef 9300

Palmer, P.L., Petrou, M., and Kittler, J.V.,
Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection,
ICCV93(529-533).
IEEE DOI BibRef 9300

McLean, G.F., Kotturi, D.,
Vanishing Point Detection by Line Clustering,
PAMI(17), No. 11, November 1995, pp. 1090-1095.
IEEE DOI BibRef 9511

Leung, J.C.[John C.], McLean, G.F.,
Vanishing Point Matching,
ICIP96(II: 305-308).
IEEE DOI BibRef 9600

Costall, A.,
Beyond Linear Perspective: A Cubist Manifesto for Visual Science,
IVC(11), No. 6, July-August 1993, pp. 334-341.
WWW Link. BibRef 9307

Pla, F., Sanchiz, J.M., Marchant, J.A., Brivot, R.,
Building Perspective Models to Guide a Row Crop Navigation Vehicle,
IVC(15), No. 6, June 1997, pp. 465-473.
WWW Link. 9708
BibRef

Ghosh, B.K., and Loucks, E.P.,
A Perspective Theory for Motion and Shape Estimation in Machine Vision,
SIAM_JCO(33), No. 5, 1995, pp. 1530-1559.
WWW Link. BibRef 9500

Kobayashi, K., Mori, C.,
Relations Between the Coefficients in the Projective Transformation Equations and the Orientation Elements of a Photograph,
PhEngRS(63), No. 9, September 1997, pp. 1121-1127. 9709
BibRef

Liebowitz, D.[David], Criminisi, A.[Antonio], Zisserman, A.[Andrew],
Creating Architectural Models from Images,
EuroGraphics(18), No. 3, 1999, pp. xx-yy. BibRef 9900

Liebowitz, D.[David], Zisserman, A.[Andrew],
Metric Rectification for Perspective Images of Planes,
CVPR98(482-488).
IEEE DOI Archtiectural models. BibRef 9800

Criminisi, A.[Antonio], Reid, I.D., Zisserman, A.[Andrew],
Computing 3D Euclidean Distance from a single View,
TROUEL 2158/98, University of Oxford, 1998. BibRef 9800

Wirtz, B.[Brigitte], Maggioni, C.[Chistoph],
Method for detecting and estimating the spatial position of objects from a two-dimensional image,
US_Patent5,533,177, Jul 2, 1996
WWW Link. BibRef 9607

Bertozzi, M., Broggi, A., Fascioli, A.,
Stereo Inverse Perspective Mapping: Theory And Applications,
IVC(16), No. 8, June 1998, pp. 585-590.
WWW Link. 9807
BibRef

Huang, J.B.[Jen-Bin], Chen, Z.[Zen], Lin, J.Y.[Jenn-Yih],
A study on the dual vanishing point property,
PR(32), No. 12, December 1999, pp. 2029-2039.
WWW Link. BibRef 9912

Kwon, J.S.[Jun-Sik], Hong, H.K.[Hyun-Ki], Choi, J.S.[Jong-Soo],
Obtaining a 3-D Orientation of Projective Textures Using a Morphological Method,
PR(29), No. 5, May 1996, pp. 725-732.
WWW Link. 9605
BibRef
Earlier:
Estimation of 3-D orientation of projective textures using morphological method,
ICIP94(I: 939-943).
IEEE DOI 9411
Vanishing Point approach. BibRef

Molton, N., Se, S., Brady, J.M., Lee, D., Probert, P.,
A Stereo Vision-Based Aid for the Visually-Impaired,
IVC(16), No. 4, March 1998, pp. 251-263.
WWW Link. 9804
Finding structures like stairs from the parallel lines and perspective effects. General approach and system to provide some guidance. BibRef

Molton, N., Se, S., Brady, M., Lee, D., Probert, P.,
Robotic Sensing for the Partially Sighted,
RobAS(26), 1999. ?? -- author provided incomplete information. BibRef 9900

Se, S.[Stephen], Brady, J.M.[J. Michael],
Vision-Based Detection of Staircases,
ACCV00(xx-yy). 0001
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Earlier:
Vision-Based detection of Kerbs and Steps,
BMVC97(410-419).
HTML Version. Finding the parallel lines. BibRef

Se, S.[Stephen], and Brady, M.[Michael],
Stereo Vision-based Obstacle Detection for Partially Sighted People,
ACCV98(xx). BibRef 9800

Se, S.[Stephen], Brady, M.[Michael],
Road feature detection and estimation,
MVA(14), No. 3, July 2003, pp. 157-165.
Springer DOI 0308
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Se, S.,
Computer Vision Aids for the Partially Sighted,
Ph.D.Thesis, University of Oxford, 1998. BibRef 9800

Seago, S.W.[Sean W.],
Two-dimensional to three-dimensional image converting system,
US_Patent5,990,900, Nov 23, 1999
WWW Link. BibRef 9911

Ma, Y.[Yi], Soatto, S.[Stefano], Kosecká, J.[Jana], Sastry, S.[Shankar],
Euclidean Reconstruction and Reprojection Up to Subgroups,
IJCV(38), No. 3, July-August 2000, pp. 219-229.
DOI Link
PDF File. 0006
BibRef
Earlier: ICCV99(773-780).
IEEE DOI Award, Marr Prize. What can be computed for calibration, etc. What view points give valid Euclidean reprojections. BibRef

Pizlo, Z.[Zygmunt], Loubier, K.[Kirk],
Recognition of a solid shape from its single perspective image obtained by a calibrated camera,
PR(33), No. 10, October 2000, pp. 1675-1681.
WWW Link. 0006
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And: Correction: PR(34), No. 1, January 2001, pp. 185.
WWW Link. 0010
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Schaffalitzky, F., Zisserman, A.,
Planar grouping for automatic detection of vanishing lines and points,
IVC(18), No. 9, June 2000, pp. 647-658.
WWW Link. 0004
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Baltzakis, H.G., Trahanias, P.E.,
The VPLF method for vanishing point computation,
IVC(19), No. 6, April 2001, pp. 393-400.
WWW Link. 0105
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Gallagher, A.C.[Andrew C.],
A ground truth based vanishing point detection algorithm,
PR(35), No. 7, July 2002, pp. 1527-1543.
WWW Link. 0204
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Gómez, F., Hurtado, F., Sellarčs, J.A., Toussaint, G.,
Nice Perspective Projections,
JVCIR(12), No. 4, December 2001, pp. 387-400.
DOI Link 0204
BibRef

Diaz-Banez, J.M., Hurtado, F., Lopez, M.A., Sellares, J.A.,
Optimal projections onto grids and finite resolution images,
JVCIR(16), No. 3, June 2005, pp. 233-249.
WWW Link. 0711
Projections; Finite resolution images; Optimal images BibRef

Rother, C.[Carsten],
A new approach to vanishing point detection in architectural environments,
IVC(20), No. 9-10, August 2002, pp. 647-655.
WWW Link. 0208
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Earlier:
A New Approach for Vanishing Point Detection in Architectural Environments,
BMVC00(xx-yy).
PDF File. 0009
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Gallagher, A.C.[Andrew C.],
Method of estimating image format and orientation based upon vanishing point location,
US_Patent6,591,005, Jul 8, 2003
WWW Link. BibRef 0307

Bosse, M.[Michael], Rikoski, R.[Richard], Leonard, J.[John], Teller, S.[Seth],
Vanishing points and three-dimensional lines from omni-directional video,
VC(19), No. 6, October 2003, pp. 417-430.
Springer DOI 0310
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Earlier: ICIP02(III: 513-516).
IEEE DOI 0210
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Almansa, A.[Andres], Desolneux, A.[Agnes], Vamech, S.[Sebastien],
Vanishing point detection without any a priori information,
PAMI(25), No. 4, April 2003, pp. 502-507.
IEEE Abstract. 0304
Use principles of grouping to find lines and vanishing points. Use grouping technique of: See also grouping principle and four applications, A. BibRef

Almansa, A.[Andres], Desolneux, A.[Agnes], Vamech, S.[Sebastien],
Vanishing Points are Meaningful Gestalts,
TRCMLA-2001-24, CMLA, ENS, Cachan, France, 2000. BibRef 0001

Almansa, A.[Andres],
Echantillonnage, Interpolation et Detection. Applications en Imagrie Satellitaire,
Ph.D.Thesis, ENS Cachan, France, December 2002. BibRef 0212

Wang, Y.M.[Yongmei Michelle], Zhang, H.J.[Hong-Jiang],
Detecting image orientation based on low-level visual content,
CVIU(93), No. 3, March 2004, pp. 328-346.
WWW Link. 0402
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Hong, W.[Wei], Yang, A.Y.[Allen Yang], Huang, K.[Kun], Ma, Y.[Yi],
On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image,
IJCV(60), No. 3, December 2004, pp. 241-265.
DOI Link 0409
Knowledge of 3-D structural invariants, i.e. symmetries, help the task of reconstruction and recovery of the camera pose. Thus buildings are easier than non-symmetric structures. BibRef

Yang, A.Y.[Allen Y.], Huang, K.[Kun], Rao, S.[Shankar], Hong, W.[Wei], Ma, Y.[Yi],
Symmetry-based 3-D reconstruction from perspective images,
CVIU(99), No. 2, August 2005, pp. 210-240.
WWW Link. 0506
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Hong, W.[Wei], Ma, Y.[Yi], Yu, Y.Z.[Yi-Zhou],
Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features,
ECCV04(Vol III: 533-545).
Springer DOI 0405
No feature points, but can use symmetry. BibRef

Favaro, P., Duci, A., Ma, Y.[Yi], Soatto, S.,
On exploiting occlusions in multiple-view geometry,
ICCV03(479-486).
IEEE DOI 0311
BibRef

Martins, A.T.[Andre T.], Aguiar, P.M.Q.[Pedro M.Q.], Figueiredo, M.A.T.[Mario A.T.],
Orientation in Manhattan: Equiprojective Classes and Sequential Estimation,
PAMI(27), No. 5, May 2005, pp. 822-826.
IEEE Abstract. 0501
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Earlier:
Navigating in Manhattan: 3D orientation from video without correspondences,
ICIP03(I: 285-288).
IEEE DOI 0312
The scene property exploited by our method is that many edges are oriented along three orthogonal directions. BibRef

Papaodysseus, C., Exarhos, M., Panagopoulos, T., Triantafillou, C., Roussopoulos, G., Pantazi, A., Loumos, V., Fragoulis, D.K., Doumas, C.,
Identification of Geometrical Shapes in Paintings and its Application to Demonstrate the Foundations of Geometry in 1650 B.C.,
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Papaodysseus, C., Fragoulis, D.K., Panagopoulos, M., Panagopoulos, T., Rousopoulos, P., Exarhos, M., Skembris, A.,
Determination of the Method of Construction of 1650 B.C. Wall Paintings,
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IEEE DOI 0608
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Papaodysseus, C., Exarhos, M., Panagopoulos, M., Rousopoulos, P., Triantafillou, C., Panagopoulos, T.,
Image and Pattern Analysis of 1650 B.C. Wall Paintings and Reconstruction,
SMC-A(38), No. 4, July 2008, pp. 958-965.
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Rousopoulos, P., Arabadjis, D., Panagopoulos, M., Papaodysseus, C., Papazoglou, E.,
Determination of the method of drawing of prehistoric wall-paintings via original methods of pattern recognition and image analysis,
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Košecká, J.[Jana], Zhang, W.[Wei],
Extraction, matching, and pose recovery based on dominant rectangular structures,
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IEEE Abstract. 0402
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Kosecká, J., Zhang, W.,
Video Compass,
ECCV02(IV: 476 ff.).
Springer DOI 0205
Assume dominant orthogonal lines. BibRef

Seo, K.S.[Kyung-Seok], Lee, J.H.[Jung-Hwa], Choi, H.M.[Heung-Moon],
An efficient detection of vanishing points using inverted coordinates image space,
PRL(27), No. 2, 15 January 2006, pp. 102-108.
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Gumerov, N.A.[Nail A.], Zandifar, A.[Ali], Duraiswami, R.[Ramani], Davis, L.S.[Larry S.],
3D Structure Recovery and Unwarping of Surfaces Applicable to Planes,
IJCV(66), No. 3, March 2006, pp. 261-281.
Springer DOI 0604
BibRef
Earlier:
Structure of Applicable Surfaces from Single Views,
ECCV04(Vol III: 482-496).
Springer DOI 0405
The applicable surface has length and area conserved when deformed (e.g. sheet of paper). Allows recovery when original shape is known. BibRef

Qi, F.[Fei], Luo, Y.P.[Yu-Pin], Hu, D.C.[Dong-Cheng],
Recognition of perspectively distorted planar grids,
PRL(27), No. 14, 15 October 2006, pp. 1725-1731.
Elsevier DOI 0609
Grid; Voronoi cell; Gaussian mixture model; Perspective transformation BibRef

Jiang, X.D.[Xu-Dong],
Extracting image orientation feature by using integration operator,
PR(40), No. 2, February 2007, pp. 705-717.
Elsevier DOI 0611
Feature extraction; Image recognition; Gradient operator; Local orientation estimation; Orientation bias; Scale selection BibRef

Gardel Kurka, P.R., Rudek, M.,
Three-Dimensional Volume and Position Recovering Using a Virtual Reference Box,
IP(16), No. 2, February 2007, pp. 573-576.
IEEE DOI 0702
Use 2 calibrated cameras. virtual bounding box from verticies and vanishing points. BibRef

Steele, R.M.[R. Matt], Jaynes, C.O.[Christopher O.],
Center-of-mass variation under projective transformation,
PRL(28), No. 15, 1 November 2007, pp. 1915-1925.
WWW Link. 0711
Feature detection; Geometric transformation invariance; Camera calibration BibRef

Wang, G.H.[Guang-Hui], Tsui, H.T.[Hung-Tat], Hu, Z.Y.[Zhan-Yi],
Reconstruction of structured scenes from two uncalibrated images,
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Wang, G.H.[Guang-Hui], Tsui, H.T.[Hung-Tat], Wu, Q.M.J.[Q.M. Jonathan],
What can we learn about the scene structure from three orthogonal vanishing points in images,
PRL(30), No. 3, 1 February 2009, pp. 192-202.
Elsevier DOI 0804
Computer vision; 3D reconstruction; Structured scene; Vanishing point; Visual metrology BibRef

Havasi, L.[László], Szlavik, Z., Szirányi, T.[Tamás],
The Use of Vanishing Point for the Classification of Reflections From Foreground Mask in Videos,
IP(18), No. 6, June 2009, pp. 1366-1372.
IEEE DOI 0905
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Havasi, L.[László], Szirányi, T.[Tamás],
Use of Motion Statistics for Vanishing Point Estimation in Camera-Mirror Scenes,
ICIP06(2993-2996).
IEEE DOI 0610
BibRef
And:
Extraction of Horizontal Vanishing Line Using Shapes and Statistical Error Propagation,
PCV06(xx-yy).
PDF File. 0609
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Mohan, S., Murali, S.,
Interactive system for image based 3D modelling and rendering from single view perspective images,
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DOI Link 0911
Based on perspective distortions of circles. BibRef

Shao, J.[Jie], Zhou, S.K., Chellappa, R.,
Robust Height Estimation of Moving Objects From Uncalibrated Videos,
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IEEE DOI 1008
Vanishing line and vertical point in the scene from tracking objects on ground plane. BibRef

Nedovic, V.[Vladimir], Smeulders, A.W.M.[Arnold W.M.], Redert, A.[Andre], Geusebroek, J.M.[Jan-Mark],
Stages as Models of Scene Geometry,
PAMI(32), No. 9, September 2010, pp. 1673-1687.
IEEE DOI 1008
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Earlier:
Depth Estimation Via Stage Classification,
3DTV08(77-80).
IEEE DOI 0805
BibRef
Earlier:
Depth Information by Stage Classification,
ICCV07(1-8).
IEEE DOI 0710
Knowledge Based Vision. Account for scene structure in reconstructions. 15 typical scene geometries (Stages) that correspond to many broadcast video frames. Different context for different arrangements. BibRef

Wokes, D.S.[David S.], Palmer, P.L.,
Perspective Reconstruction of a Spheroid from an Image Plane Ellipse,
IJCV(90), No. 3, December 2010, pp. 369-379.
WWW Link. 1011
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Kim, J.S.[Jun-Sik], Kweon, I.S.[In So],
Metric reconstruction of planes utilizing off-the-plane features,
CVIU(115), No. 1, January 2011, pp. 1-7.
Elsevier DOI 1011
Metric invariants; Conic dual to the circular points; Vanishing points; Range of conics BibRef

Zhang, Y.[Yun], Chu, H.[Henry],
Ray Projection for Recovering Projective Transformations and Illumination Changes,
PAMI(33), No. 3, March 2011, pp. 446-458.
IEEE DOI 1102
BibRef
Earlier:
Inverse-polar ray projection for recovering projective transformations,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Simon, G.[Gilles], Berger, M.O.[Marie-Odile],
Interactive building and augmentation of piecewise planar environments using the intersection lines,
VC(27), No. 9, September 2011, pp. 827-841.
WWW Link. 1109
BibRef
Earlier:
Detection of the intersection lines in multiplanar environments: Application to real-time estimation of the camera-scene geometry,
ICPR08(1-4).
IEEE DOI 0812
Plane intersecion lines. BibRef

Nieto, M.[Marcos], Salgado, L.[Luis],
Simultaneous estimation of vanishing points and their converging lines using the EM algorithm,
PRL(32), No. 14, 15 October 2011, pp. 1691-1700.
Elsevier DOI 1110
BibRef
Earlier:
Non-linear optimization for robust estimation of vanishing points,
ICIP10(1885-1888).
IEEE DOI 1009
BibRef
And:
Plane rectification through robust vanishing point tracking using the Expectation-Maximization algorithm,
ICIP10(1901-1904).
IEEE DOI 1009
BibRef
Earlier:
Real-Time Vanishing Point Estimation in Road Sequences Using Adaptive Steerable Filter Banks,
ACIVS07(840-848).
Springer DOI 0708
See also Automatic video mosaicing for surveillance using vanishing points. Vanishing points; Expectation-Maximisation; Projective plane; Mixture models; Non-linear optimisation BibRef

Moratz, R.[Reinhard], Lücke, D.[Dominik], Mossakowski, T.[Till],
A condensed semantics for qualitative spatial reasoning about oriented straight line segments,
AI(175), No. 16-17, October-November 2009, pp. 2099-2127.
Elsevier DOI 1110
Qualitative spatial reasoning; Relation algebra; Affine geometry BibRef

Mossakowski, T.[Till], Moratz, R.[Reinhard],
Qualitative reasoning about relative direction of oriented points,
AI(180-181), No. 1, April 2012, pp. 34-45.
Elsevier DOI 1202
Qualitative spatial reasoning; Constraint-based reasoning; Qualitative simulation BibRef

Zhang, Y.J.[Yong-Jun], Hu, B.H.[Bing-Hua], Zhang, J.Q.[Jian-Qing],
Relative orientation based on multi-features,
PandRS(66), No. 5, September 2011, pp. 700-707.
Elsevier DOI 1110
Multi-features; Straight line; Circular curve; Relative orientation; Precision analysis BibRef

Moghadam, P., Starzyk, J.A., Wijesoma, W.S.,
Fast Vanishing-Point Detection in Unstructured Environments,
IP(21), No. 1, January 2012, pp. 425-430.
IEEE DOI 1112
BibRef

Ebrahimpour, R., Rasoolinezhad, R., Hajiabolhasani, Z., Ebrahimi, M.,
Vanishing point detection in corridors: using hough transform and K-means clustering,
IET-CV(6), No. 1, 2012, pp. 40-51.
DOI Link 1201
BibRef

Chinellato, E., Morales, A., Fisher, R.B., del Pobil, A.P.,
Visual quality measures for Characterizing Planar robot grasps,
SMC-C(35), No. 1, February 2005, pp. 30-41.
IEEE Abstract. 0501
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Chinellato, E., Grzyb, B.J., del Pobil, A.P.,
Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach,
SMC-B(42), No. 2, April 2012, pp. 530-538.
IEEE DOI 1204
Stereo and perspective orientation measures. BibRef

Jung, C.[Chanho], Kim, C.[Changick],
Real-time estimation of 3D scene geometry from a single image,
PR(45), No. 9, September 2012, pp. 3256-3269.
Elsevier DOI 1206
3D scene geometry; Geometric scene categorization; Depth information; Monocular vision; Machine learning BibRef

Lee, H.[Hyukzae], Jung, C.[Chanho], Kim, C.[Changick],
Depth map estimation based on geometric scene categorization,
FCV13(170-173).
IEEE DOI 1304
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Choi, J.[Jiwon], Kim, W.J.[Won-Jun], Kong, H.[Haejung], Kim, C.[Changick],
Real-time vanishing point detection using the Local Dominant Orientation Signature,
3DTV11(1-4).
IEEE DOI 1105
BibRef

Frosio, I., Alzati, A., Bertolini, M., Turrini, C., Borghese, N.A.,
Linear pose estimate from corresponding conics,
PR(45), No. 12, December 2012, pp. 4169-4181.
Elsevier DOI 1208
Conics; Multi-view geometry; Pose estimate; Coplanar pairs of lines; Critical configurations BibRef

Kong, H., Sarma, S.E., Tang, F.,
Generalizing Laplacian of Gaussian Filters for Vanishing-Point Detection,
ITS(14), No. 1, March 2013, pp. 408-418.
IEEE DOI 1303
BibRef

Bui, T.H.[Trung Hieu], Nobuyama, E.[Eitaku], Saitoh, T.[Takeshi],
A Texture-Based Local Soft Voting Method for Vanishing Point Detection from a Single Road Image,
IEICE(E96-D), No. 3, March 2013, pp. 690-698.
WWW Link. 1303
BibRef

Bui, T.H.[Trung Hieu], Saitoh, T.[Takeshi], Nobuyama, E.[Eitaku],
Vanishing Point-Based Road Detection for General Road Images,
IEICE(E97-D), No. 3, March 2014, pp. 618-621.
WWW Link. 1403
BibRef

Calderero, F.[Felipe], Caselles, V.[Vicent],
Recovering Relative Depth from Low-Level Features Without Explicit T-junction Detection and Interpretation,
IJCV(104), No. 1, August 2013, pp. 38-68.
WWW Link. 1307
BibRef

Lee, H.J.[Hyun-Joon], Shechtman, E.[Eli], Wang, J.[Jue], Lee, S.Y.[Seung-Yong],
Automatic Upright Adjustment of Photographs With Robust Camera Calibration,
PAMI(36), No. 5, May 2014, pp. 833-844.
IEEE DOI 1405
BibRef
Earlier:
Automatic upright adjustment of photographs,
CVPR12(877-884).
IEEE DOI 1208
Buildings BibRef

Bayer, T.[Tomas],
Estimation of an unknown cartographic projection and its parameters from the map,
GeoInfo(18), No. 3, July 2014, pp. 621-669.
WWW Link. 1407
BibRef

Bayer, T.[Tomas],
Advanced methods for the estimation of an unknown projection from a map,
GeoInfo(20), No. 2, April 2016, pp. 241-284.
WWW Link. 1604
BibRef

Cheda, D.[Diego],
Monocular Depth Cues in Computer Vision Applications,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
WWW Link. 1407
Ph.D.. Thesis. BibRef

Guo, Y.[Yang],
An Approach to the Vanishing Line Identification Based on Normalized Barycentric Coordinates,
JMIV(50), No. 3, November 2014, pp. 286-299.
Springer DOI 1410
BibRef

Lin, C.K.[Cong-Kai], Tai, W.K.[Wen-Kai],
Automatic upright orientation and good view recognition for 3D man-made models,
PR(45), No. 4, 2012, pp. 1524-1530.
Elsevier DOI 1410
Upright orientation recognition BibRef

Lezama, J.[Jose], Morel, J.M.[Jean-Michel], Randall, G.[Gregory], von Gioi, R.G.[Rafael Grompone],
A Contrario 2D Point Alignment Detection,
PAMI(37), No. 3, March 2015, pp. 499-512.
IEEE DOI 1502
Detectors BibRef
Earlier: A1, A4, A3, A2:
Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains,
CVPR14(509-515)
IEEE DOI 1409
2d point alignments;line-to-point mapping;vanishing point detection BibRef

Lezama, J.[José], Randall, G.[Gregory], von Gioi, R.G.[Rafael Grompone],
Vanishing Point Detection in Urban Scenes Using Point Alignments,
IPOL(7), 2017, pp. 131-164.
DOI Link 1708
Code, Vanishing Points. BibRef

Lezama, J.[José], Randall, G.[Gregory], Morel, J.M.[Jean-Michel], von Gioi, R.G.[Rafael Grompone],
An Unsupervised Point Alignment Detection Algorithm,
IPOL(5), 2015, pp. 296-310.
DOI Link 1601
Code, Vanishing Points. BibRef

Lou, Z., Gevers, T., Hu, N.,
Extracting 3D Layout From a Single Image Using Global Image Structures,
IP(24), No. 10, October 2015, pp. 3098-3108.
IEEE DOI 1507
Feature extraction. Global structure first, then local details. BibRef

Andaló, F.A.[Fernanda A.], Taubin, G.[Gabriel], Goldenstein, S.[Siome],
Efficient height measurements in single images based on the detection of vanishing points,
CVIU(138), No. 1, 2015, pp. 51-60.
Elsevier DOI 1506
Photogrammetry BibRef

Haines, O.[Osian], Calway, A.D.[Andrew D.],
Recognising Planes in a Single Image,
PAMI(37), No. 9, September 2015, pp. 1849-1861.
IEEE DOI 1508
BibRef
Earlier:
Detecting planes and estimating their orientation from a single image,
BMVC12(31).
DOI Link 1301
Learning. So other properties also. BibRef

Haines, O.[Osian], Calway, A.[Andrew],
Interpreting the Structure of Single Images by Learning from Examples,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Ding, W.L.[Wei-Li], Li, Y.[Yong],
Efficient vanishing point detection method in complex urban road environments,
IET-CV(9), No. 4, 2015, pp. 549-558.
DOI Link 1509
feature extraction BibRef

Wu, J., Lin, W., Shi, G., Zhang, Y., Dong, W., Chen, Z.,
Visual Orientation Selectivity Based Structure Description,
IP(24), No. 11, November 2015, pp. 4602-4613.
IEEE DOI 1509
Correlation BibRef

Li, S.Z.[Sheng-Zhe], Nguyen, V.[Van], Ma, M.J.[Ming-Jie], Jin, C.B.[Cheng-Bin], Do, T.[Trung], Kim, H.[Hakil],
A simplified nonlinear regression method for human height estimation in video surveillance,
JIVP(2015), No. 1, 2015, pp. 32.
DOI Link 1511
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Choi, S.H.[Sung-Hwan], Min, D.B.[Dong-Bo], Ham, B.[Bumsub], Kim, Y.J.[Young-Jung], Oh, C.[Changjae], Sohn, K.H.[Kwang-Hoon],
Depth Analogy: Data-Driven Approach for Single Image Depth Estimation Using Gradient Samples,
IP(24), No. 12, December 2015, pp. 5953-5966.
IEEE DOI 1512
Poisson distribution BibRef

Kim, S.[Sunok], Choi, S.H.[Sung-Hwan], Sohn, K.H.[Kwang-Hoon],
Learning depth from a single image using visual-depth words,
ICIP15(1895-1899)
IEEE DOI 1512
K-means clustering BibRef

Kim, Y.J.[Young-Jung], Choi, S.H.[Sung-Hwan], Sohn, K.H.[Kwang-Hoon],
Data-driven single image depth estimation using weighted median statistics,
ICIP14(3808-3812)
IEEE DOI 1502
Based on matches to similar images. Wrong section, one of several, learn patterns from other images, apply. BibRef

Kim, Y.J.[Young-Jung], Ham, B.[Bumsub], Oh, C.[Changjae], Sohn, K.H.[Kwang-Hoon],
Structure Selective Depth Superresolution for RGB-D Cameras,
IP(25), No. 11, November 2016, pp. 5227-5238.
IEEE DOI 1610
Dictionaries BibRef

Romero-Manchado, A.[Antonio], Rojas-Sola, J.I.[José Ignacio],
Application of gradient-based edge detectors to determine vanishing points in monoscopic images: Comparative study,
IVC(43), No. 1, 2015, pp. 1-15.
Elsevier DOI 1512
Vanishing point BibRef

Zhang, L.[Lilian], Lu, H.M.[Hui-Min], Hu, X.P.[Xiao-Ping], Koch, R.[Reinhard],
Vanishing Point Estimation and Line Classification in a Manhattan World with a Unifying Camera Model,
IJCV(117), No. 2, April 2016, pp. 111-130.
Springer DOI 1604
BibRef
Earlier: A1, A4, Only:
Vanishing Points Estimation and Line Classification in a Manhattan World,
ACCV12(II:38-51).
Springer DOI 1304
BibRef

Shi, J., Wang, J., Fu, F.,
Fast and Robust Vanishing Point Detection for Unstructured Road Following,
ITS(17), No. 4, April 2016, pp. 970-979.
IEEE DOI 1604
Accuracy BibRef

Pan, X.[Xun], Si, W.[Wa], Ogai, H.[Harutoshi],
Fast Vanishing Point Estimation Based on Particle Swarm Optimization,
IEICE(E99-D), No. 2, February 2016, pp. 505-513.
WWW Link. 1604
BibRef

Briales, J.[Jesus], Gonzalez-Jimenez, J.[Javier],
A Minimal Closed-form Solution for the Perspective Three Orthogonal Angles (P3oA) Problem: Application To Visual Odometry,
JMIV(55), No. 3, July 2016, pp. 266-283.
Springer DOI 1604
BibRef

Desolneux, A.[Agnčs], Doré, F.[Fanny],
An Anisotropic A Contrario Framework for the Detection of Convergences in Images,
JMIV(56), No. 1, September 2016, pp. 32-56.
Springer DOI 1605
BibRef

Fan, X., Shin, H.,
Road vanishing point detection using weber adaptive local filter and salient-block-wise weighted soft voting,
IET-CV(10), No. 6, 2016, pp. 503-512.
DOI Link 1609
adaptive filters BibRef

Cao, Z.Q.[Zhi-Qiang], Liu, X.L.[Xi-Long], Gu, N.[Nong], Nahavandi, S.[Saeid], Xu, D.[De], Zhou, C.[Chao], Tan, M.[Min],
A Fast Orientation Estimation Approach of Natural Images,
SMCS(46), No. 11, November 2016, pp. 1589-1597.
IEEE DOI 1609
feature extraction BibRef

Prasad, D.K.[Dilip K.], Rajan, D.[Deepu], Rachmawati, L.[Lily], Rajabally, E.[Eshan], Quek, C.[Chai],
MuSCoWERT: multi-scale consistence of weighted edge Radon transform for horizon detection in maritime images,
JOSA-A(33), No. 12, December 2016, pp. 2491-2500.
DOI Link 1612
Digital image processing BibRef

Ren, Y.Z.[Yu-Zhuo], Chen, C.[Chen], Li, S.W.[Shang-Wen], Kuo, C.C.J.[C.C. Jay],
GAL: A global-attributes assisted labeling system for outdoor scenes,
JVCIR(42), No. 1, 2017, pp. 192-206.
Elsevier DOI 1701
Outdoor layout estimation BibRef

Han, L.[Lei], Huang, C.[Chenrong], Zheng, S.N.[Sheng-Nan], Zhang, Z.[Zhen], Xu, L.Z.[Li-Zhong],
Vanishing point detection and line classification with BPSO,
SIViP(11), No. 1, January 2017, pp. 17-24.
Springer DOI 1702
BibRef


Lu, X.H.[Xiao-Hu], Yaoy, J.[Jian], Li, H.A.[Hao-Ang], Liu, Y.H.[Ya-Hui],
2-Line Exhaustive Searching for Real-Time Vanishing Point Estimation in Manhattan World,
WACV17(345-353)
IEEE DOI 1609
Buildings, Cameras, Estimation, Image segmentation, Navigation, Real-time systems, Search, problems BibRef

Alonso-Ramirez, O.[Oscar], Lopez-Correa, M.D.[Maria Dolores], Marin-Hernandez, A.[Antonio], Rios-Figueroa, H.V.[Homero V.],
Perspective Reconstruction by Determining Vanishing Points for Autonomous Mobile Robot Visual Localization on Supermarkets,
MCPR17(191-200).
Springer DOI 1706
BibRef

Mohaghegh, H., Karimi, N., Soroushmehr, S.M.R., Samavi, S., Najarian, K.,
Single image depth estimation using joint local-global features,
ICPR16(727-732)
IEEE DOI 1705
Monocular depth cues. Correlation, Databases, Estimation, Solid modeling, Three-dimensional displays, Training, Two dimensional displays, Data-driven approaches, Depth estimation, Joint local-global framework, KNN regression model. BibRef

Takezawa, Y., Hasegawa, M., Tabbone, S.,
Camera-captured document image perspective distortion correction using vanishing point detection based on Radon transform,
ICPR16(3968-3974)
IEEE DOI 1705
Distortion, Feeds, Image reconstruction, Optical character recognition software, Optical distortion, Radon, Transforms BibRef

Nguyen, L., Phung, S.L., Bouzerdoum, A.,
Efficient Vanishing Point Estimation for Unstructured Road Scenes,
DICTA16(1-6)
IEEE DOI 1701
Estimation error BibRef

Kim, J.H.[Jae-Hean], Choi, J.S.[Jin Sung],
Camera Motion Estimation with Known Vertical Direction in Unstructured Environments,
ISVC16(I: 156-166).
Springer DOI 1701
BibRef

Roy, A.[Anirban], Todorovic, S.[Sinisa],
Monocular Depth Estimation Using Neural Regression Forest,
CVPR16(5506-5514)
IEEE DOI 1612
BibRef

Zhai, M., Workman, S., Jacobs, N.,
Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld,
CVPR16(5657-5665)
IEEE DOI 1612
BibRef

Engelmann, F.[Francis], Stückler, J.[Jörg], Leibe, B.[Bastian],
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction,
WACV17(400-408)
IEEE DOI 1609
BibRef
Earlier:
Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors,
GCPR16(219-230).
Springer DOI 1611
Computational modeling, Shape, Simultaneous localization and mapping, Solid modeling, Three-dimensional displays, Tracking, Trajectory. BibRef

Liwicki, S.[Stephan], Zach, C.[Christopher], Miksik, O.[Ondrej], Torr, P.H.S.[Philip H. S.],
Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation,
ECCV16(II: 458-474).
Springer DOI 1611
BibRef

El merabet, Y.[Youssef], Ruichek, Y.[Yassine], Ghaffarian, S.[Saman], Samir, Z.[Zineb], Boujiha, T.[Tarik], Touahni, R.[Raja], Messoussi, R.[Rochdi],
Horizon Line Detection from Fisheye Images Using Color Local Image Region Descriptors and Bhattacharyya Coefficient-Based Distance,
ACIVS16(58-70).
Springer DOI 1611
BibRef

Fujinoki, K., Ashizawa, K.,
Directional redundant polyphase transforms,
ICWAPR16(258-263)
IEEE DOI 1611
Image Orientation analysis. BibRef

Baig, M.H.[Mohammad Haris], Torresani, L.[Lorenzo],
Coupled depth learning,
WACV16(1-10)
IEEE DOI 1606
Computational modeling. Depth from single image via learning. BibRef

Yang, W.[Wei], Lin, H.T.[Hai-Ting], Kang, S.B.[Sing Bing], Yu, J.Y.[Jing-Yi],
Resolving Scale Ambiguity via XSlit Aspect Ratio Analysis,
ICCV15(3424-3432)
IEEE DOI 1602
Analytical models. depth-dependent aspect ratio for 3D recovery, non-perspective camera. BibRef

Valente, J.[Joachim], Soatto, S.[Stefano],
Perspective distortion modeling, learning and compensation,
Biometrics15(9-16)
IEEE DOI 1510
Cameras. BibRef

Kroeger, T.[Till], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
Joint vanishing point extraction and tracking,
CVPR15(2449-2457)
IEEE DOI 1510
BibRef

Akhmadeev, F.[Foat],
Surface Prediction for a Single Image of Urban Scenes,
AutoSystems14(369-382).
Springer DOI 1504
BibRef

Kazmi, S.M.A.M., Rao, N.I., Fazal, F., Khan, M.F.,
Exploiting a scene calibration mechanism for depth estimation,
IPTA12(421-425)
IEEE DOI 1503
calibration. Perspective on roads. BibRef

Kroeger, T.[Till], Dai, D.X.[Deng-Xin], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos,
MTT15(63-70)
IEEE DOI 1503
BibRef

Ikeoka, H.[Hiroshi], Murata, T.[Takafumi], Okuwaki, M.[Maiki], Hamamoto, T.[Takayuki],
Depth estimation for automotive with tilted optics imaging,
ICIP14(3852-3856)
IEEE DOI 1502
Automotive engineering BibRef

Herrera, J.L.[Jose L.], Konrad, J.[Janusz], del-Bianco, C.R.[Carlos R.], Garcia, N.[Narciso],
Learning-based depth estimation from 2D images using GIST and saliency,
ICIP15(4753-4757)
IEEE DOI 1512
BibRef
Earlier: A1, A3, A4, Only:
Learning 3D structure from 2D images using LBP features,
ICIP14(2022-2025)
IEEE DOI 1502
2D-to-3D Image Conversion; Depth maps; GIST Descriptor; Saliency. Color BibRef

Hua, Y., Tian, H., Cai, A., Shi, P.,
Cross-modal correlation learning with deep convolutional architecture,
VCIP15(1-4)
IEEE DOI 1605
Analytical models BibRef

Tian, H.[Hu], Zhuang, B.[Bojin], Hua, Y.[Yan], Cai, A.[Anni],
Depth inference with convolutional neural network,
VCIP14(169-172)
IEEE DOI 1504
BibRef
Earlier:
Depth extraction from a single image by sampling based on distance metric learning,
ICIP14(2017-2021)
IEEE DOI 1502
feature extraction. Estimation. Mahalanobis distance rather than Euclidean distance between images. depth fusion. BibRef

Yu, Z.D.[Zhi-Ding], Zhang, W.[Wende], Kumar, B.V.K.V.[B.V.K. Vijaya],
Robust rear-view ground surface detection with hidden state conditional random field and confidence propagation,
ICIP14(991-995)
IEEE DOI 1502
Accuracy BibRef

She, Q.[Qingyun], Lu, Z.Q.[Zong-Qing], Liao, Q.[Qingmin],
Vanishing point estimation for challenging road images,
ICIP14(996-1000)
IEEE DOI 1502
Estimation BibRef

Tepper, M.[Mariano], Sapiro, G.[Guillermo],
Intersecting 2D lines: A simple method for detecting vanishing points,
ICIP14(1056-1060)
IEEE DOI 1502
Belts BibRef

Fan, J.[Jian], Zhang, T.[Tong],
Shelf detection via vanishing point and radial projection,
ICIP14(1575-1578)
IEEE DOI 1502
Image color analysis BibRef

Li, H.S.[Hong-Song], Song, T.[Ting], Wu, Z.H.[Ze-Huan], Ma, J.D.[Jian-Dong], Ding, G.[Gangyi],
Reconstruction of a Complex Mirror Surface from a Single Image,
ISVC14(I: 402-412).
Springer DOI 1501
Use the multiple reflections of same environment point. BibRef

Duan, W.T.[Wen-Ting], Allinson, N.[Nigel],
A J-Linkage Based Approach for Vanishing Direction Estimation in Catadioptric Images,
ICPR14(2113-2118)
IEEE DOI 1412
Calibration BibRef

Straub, J.[Julian], Rosman, G.[Guy], Freifeld, O.[Oren], Leonard, J.J.[John J.], Fisher, J.W.[John W.],
A Mixture of Manhattan Frames: Beyond the Manhattan World,
CVPR14(3770-3777)
IEEE DOI 1409
Bayesian Model BibRef

Liu, M.M.[Miao-Miao], Salzmann, M.[Mathieu], He, X.M.[Xu-Ming],
Discrete-Continuous Depth Estimation from a Single Image,
CVPR14(716-723)
IEEE DOI 1409
BibRef

Visa, G.P.[Guillem Palou], Salembier, P.[Philippe],
Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images,
ECCV14(I: 648-662).
Springer DOI 1408
depth ordering on single images. Segment then order. BibRef

Yang, W.[Wei], Ji, Y.[Yu], Ye, J.W.[Jin-Wei], Young, S.S.[S. Susan], Yu, J.Y.[Jing-Yi],
Coplanar Common Points in Non-centric Cameras,
ECCV14(I: 220-233).
Springer DOI 1408
all points on a plane. BibRef

Dubská, M.[Markéta], Herout, A.[Adam],
Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points,
BMVC13(xx-yy).
DOI Link 1402
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Joo, K.[Kyungdon], Oh, T.H.[Tae-Hyun], Kim, H.W.[Hyeong-Woo], Kweon, I.S.[In So],
Hierarchical 3D line restoration based on angular proximity in structured environments,
ICIP13(2158-2162)
IEEE DOI 1402
3D line BibRef

Cheng, H.M.[Hsin-Min], Tseng, C.Y.[Chen-Yu], Hsin, C.H.[Cheng-Ho], Wang, S.J.[Sheng-Jyh],
Single-image 3-D depth estimation for urban scenes,
ICIP13(2121-2125)
IEEE DOI 1402
3-D depth recovery;Depth estimation BibRef

Donatsch, D.[Daniel], Farber, N.[Nico], Zwicker, M.[Matthias],
3D conversion using vanishing points and image warping,
3DTV-CON13(1-4)
IEEE DOI 1309
Stereo image processing BibRef

Fefilatyev, S.[Sergiy], Shreve, M.[Matthew],
Detection of the Vanishing Line of the Ocean Surface from Pairs of Scale-Invariant Keypoints,
CIAP13(I:161-169).
Springer DOI 1311
BibRef

Ahmad, T.[Touqeer], Bebis, G.N.[George N.], Regentova, E.E.[Emma E.], Nefian, A.[Ara], Fong, T.[Terry],
An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection,
ISVC14(I: 193-205).
Springer DOI 1501
BibRef

Ahmad, T.[Touqeer], Bebis, G.N.[George N.], Regentova, E.E.[Emma E.], Nefian, A.[Ara],
A Machine Learning Approach to Horizon Line Detection Using Local Features,
ISVC13(I:181-193).
Springer DOI 1310
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Antunes, M.[Michel], Barreto, J.P.[Joao P.],
A Global Approach for the Detection of Vanishing Points and Mutually Orthogonal Vanishing Directions,
CVPR13(1336-1343)
IEEE DOI 1309
Facility Location BibRef

Xu, Y.L.[Yi-Liang], Oh, S.M.[Sang-Min], Hoogs, A.[Anthony],
A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments,
CVPR13(1376-1383)
IEEE DOI 1309
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Shahrabadi, S.[Somayeh], Rodrigues, J.M.F.[Joao M. F.], du Buf, J.M.H.[J.M. Hans],
Detection of Indoor and Outdoor Stairs,
IbPRIA13(847-854).
Springer DOI 1307
BibRef

Wahyono, Joko, H.[Hariyono], Vavilin, A.[Andrey], Jo, K.H.[Kang-Hyun],
A geometry-based 3D reconstruction from a single omnidirectional image,
FCV13(295-299).
IEEE DOI 1304
Based on finding vertical surfaces. BibRef

Elqursh, A.[Ali], Elgammal, A.[Ahmed],
Single axis relative rotation from orthogonal lines,
ICPR12(3573-3576).
WWW Link. 1302
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Li, S.G.[Shi-Gang], Jia, H.C.[Han-Chao],
Vanishing point estimation by spherical gradient,
ICPR12(902-905).
WWW Link. 1302
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Gerogiannis, D.[Demetrios], Nikou, C.[Christophoros], Likas, A.[Aristidis],
Fast and efficient vanishing point detection in indoor images,
ICPR12(3244-3247).
WWW Link. 1302
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Pei, D.L.[De-Li], Ji, R.R.[Rong-Rong], Sun, F.C.[Fu-Chun], Liu, H.P.[Hua-Ping],
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ICPR10(3468-3471).
IEEE DOI 1008
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ICPR10(3292-3295).
IEEE DOI 1008
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Tardif, J.P.[Jean-Philippe],
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ICCV09(1250-1257).
IEEE DOI 0909
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Object (person) height. BibRef

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DGCI09(132-143).
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Hu, B.[Bo],
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Vanishing Point Detection in Complex Man-made Worlds,
CIAP07(615-622).
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Semi-metric Space: A New Approach to Treat Orthogonality and Parallelism,
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Sequential correction of perspective warp in camera-based documents,
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3D reconstruction using spatial orthogonal constraints,
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Coughlan, J.M., Yuille, A.L.,
Manhattan World: Compass Direction from a Single Image by Bayesian Inference,
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Battiato, S., Capra, A., Curti, S., La Cascia, M.,
3D stereoscopic image pairs by depth-map generation,
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Wang, L.[Lei], Liu, X.[Xu], Xia, L.R.[Li-Rong], Xu, G.Y.[Guang-You], Bruckstein, A.M.,
Image orientation detection with integrated human perception cues (or which way is up),
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IEEE DOI 0312
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Wang, C.H.[Cai-Hua], Tanahashi, H., Satoh, Y., Hirayu, H., Sato, J.[Jun], Niwa, Y., lamamoto,K.,
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ICIP03(I: 841-844).
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Schroeter, C.[Christof], Boehme, H.J.[Hans-Joachim], Gross, H.M.[Horst-Michael],
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DAGM03(410-417).
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Yoon, Y.I.[Yong-In], Im, J.W.[Jang-Whan], Kim, D.H.[Dae-Hyun], Choi, J.S.[Jong-Soo], Oh, J.S.[Jeong-Su],
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SCIA03(693-700).
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Vanishing point detection: representation analysis and new approaches,
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ICIP00(Vol I: 232-235).
IEEE DOI 0008
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Fujiki, J., Kurata, T.,
Recursive Factorization Method for the Paraperspective Model Based on the Perspective Projection,
ICPR00(Vol I: 406-410).
IEEE DOI 0009
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Lucchese, L.,
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ICIP00(Vol II: 776-779).
IEEE DOI 0008
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Gurdjos, P.[Pierre], Payrissat, R.[Rene],
About Conditions for Recovering the Metric Structures of Perpendicular Planes from the Single Ground Plane to Image Homography,
ICPR00(Vol I: 358-361).
IEEE DOI 0009
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Gurdjos, P., Payrissat, R.,
Recovering the Vanishing Self-polar Triangle from a Single View of a Planar Pattern,
ICIP00(Vol II: 756-759).
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Bräuer-Burchardt, C.[Christian], Voss, K.[Klaus],
Robust Vanishing Point Determination in Noisy Images,
ICPR00(Vol I: 559-562).
IEEE DOI 0009
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Anandan, P., Avidan, S.,
Integrating Local Affine into Global Projective Images in the Joint Image Space,
ECCV00(I: 907-921).
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Shashua, A., Avidan, S.,
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Antone, M.E.[Matthew E.], Teller, S.[Seth],
Automatic Recovery of Relative Camera Rotations for Urban Scenes,
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Rotation -- lines are vertical or horizontal BibRef

Sturm, P.F.[Peter F.],
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IEEE DOI 0005
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Ribeiro, E.[Eraldo], Hancock, E.R.[Edwin R.],
Perspective Pose from Spectral Voting,
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IEEE DOI 0005
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Minagawa, A., Tagawa, N., Moriya, T., Gotoh, T.,
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Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.], Proesmans, M.[Marc], and Moons, T.[Theo],
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Sundaram, H., Nayar, S.K.,
Are Textureless Scenes Recoverable?,
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IEEE DOI 9704
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Sedgwick, H.A.,
Layout2: A Production System Modeling Visual Perspective Information,
ICCV87(662-666). BibRef 8700

Seo, Y., Hong, K.,
Sequential Reconstruction of Lines in Projective Space,
ICPR96(I: 503-507).
IEEE DOI 9608
(Pohang Univ. of Science, KOR) BibRef

Gamba, P.[Paolo], Mecocci, A., Salvatore, U.,
Vanishing Point Detection by a Voting Scheme,
ICIP96(II: 301-304).
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Vanderkooy, G.E.[Geoffrey E.], McLean, G.F.,
Projective Invariants and the Correspondence Problem,
ICIP96(II: 317-320).
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Laveau, S., Faugeras, O.D.,
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ECCV96(I:147-156).
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Verghese, G., Tsotsos, J.K.,
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ICIP95(I: 386-389).
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Verghese, G.[Gilbert],
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Inverse perspective of a triangle: New exact and approximate solutions,
ECCV90(369-373).
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Kender, J.R.[John R.],
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AAAI-82(9-12). BibRef 8200

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Three-Dimensional Reconstruction from Different Views .


Last update:Sep 18, 2017 at 11:34:11