12.2.4 Line Based Matching for Pose Estimation

Chapter Contents (Back)
Matching, Lines. Pose Estimation, Lines. Pose Estimation, Perspective.

Wu, Y.Y., Iyengar, S.S., Jain, R.C., and Bose, S.,
A New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint,
PAMI(16), No. 10, October 1994, pp. 961-975.
IEEE DOI BibRef 9410
Earlier:
Shape from Perspective Trihedral Angle Constraint,
CVPR93(261-266).
IEEE DOI Similar technique to: See also Perspective Angle Transform and Its Application to 3-D Configuration Recovery. BibRef

Dhome, M., Richetin, M., Lapreste, J.T., and Rives, G.,
Determination of the Attitude of 3-D Objects from a Single Perspective View,
PAMI(11), No. 12, December 1989, pp. 1265-1278.
IEEE DOI Three lines in the image correspond to three ridge lines of the object. This is used in a 8 degree equation to find the geometric transformation necessary to align the image and the model. See also Inverse Perspective Transform Using Zero-Curvature Contour Points: Application to the Localization of Some Generalized Cylinders from a Single View. BibRef 8912

Dhome, M.[Michel], Yassine, A.[Ali], and Lavest, J.M.[Jean-Marc],
Determination of the Pose of an Articulated Object from a Single Perspective View,
BMVC93(94-105).
PDF File. BibRef 9300

Phong, T.Q., Horaud, R., Yassine, A., Tao, P.D.,
Object Pose from 2-D to 3-D Point and Line Correspondences,
IJCV(15), No. 3, July 1995, pp. 225-243.
Springer DOI BibRef 9507

Phong, T.Q., Horaud, R., Yassine, A., and Pham, D.T.,
Optimal Estimation of Object Pose from a Single Perspective View,
ICCV93(534-539).
IEEE DOI BibRef 9300

Dhome, M., Lapreste, J.T., Rives, G., and Richetin, M.,
Spatial Localization of Modelled Objects of Revolution in Monocular Perspective Vision,
ECCV90(475-485).
Springer DOI BibRef 9000

Rives, G., Lapreste, J.T., Dhome, M., Richetin, M.,
Planar Partially Occluded Objects Scene Analysis,
ICPR86(1076-1079). BibRef 8600

Wong, A.K.C., Lu, S.W., and Rioux, M.,
Recognition and Shape Synthesis of 3D Objects Image Based on Attributed Hypergraphs,
PAMI(11), No. 3, March 1989, pp. 279-290.
IEEE DOI BibRef 8903
Earlier: A1, A2 Only:
Recognition and Knowledge Synthesis of 3-D Object Image Based on Attributed Hypergraph,
CVPR85(162-166). (Univ. of Waterloo) Laser range finder data. Generate and match a graph of the faces. BibRef

Sullivan, G.D.,
Visual Interpretation of Known Objects in Constrained Scenes,
Royal(B-337), 1992, pp. 361-370. BibRef 9200

Zhang, S., Sullivan, G.D., Baker, K.D.,
Relational Model Construction and 3D Object Recognition from Single 2D Monochromatic Image,
IVC(10), No. 5, June 1992, pp. 313-318.
WWW Link. BibRef 9206
Earlier: BMVC91(xx-yy).
PDF File. 9109
BibRef

Zhang, S., Baker, K.D., and Sullivan, G.D.,
The Automatic Construction of a View-Independent Relational Model for 3-D Object Recognition,
PAMI(15), No. 6, June 1993, pp. 531-544.
IEEE DOI BibRef 9306
Earlier: A1, A3, A2:
Using Automatically Constructed View-Independent Relational Model in 3D Object Recognition,
ECCV92(778-786).
Springer DOI Recognition by matching for pose. BibRef

Worrall, A.D., Baker, K.D., and Sullivan, G.D.,
Model Based Perspective Inversion,
IVC(7), No. 1, February 1989, pp. 17-23.
WWW Link. Model based recognition, similar to Lowe. See also Three-Dimensional Object Recognition from Single Two-Dimensional Images. BibRef 8902

Worrall, A.D., Baker, K.D., Sullivan, G.D.,
Roll Angle Consistency Constraint,
IVC(8), No. 1, February 1990, pp. 78-84.
WWW Link. Reasoning on 3 orientation paramters. BibRef 9002

Das, S.[Subhodev], Bhanu, B.[Bir],
A System for Model-Based Object Recognition in Perspective Aerial Images,
PR(31), No. 4, April 1998, pp. 465-491.
WWW Link. 9803
BibRef

Das, S., Bhanu, B.,
Computational Learning for Adaptive Computer Vision,
Springer2004. ISBN 0-387-23703-8.
HTML Version. BibRef 0400

Das, S., Bhanu, B.[Bir], Wu, X., and Braithwaite, R.N.[R. Neil],
A System for Aircraft Recognition in Perspective Aerial Images,
WACV94(168-175).
IEEE Abstract. BibRef 9400

Umeyama, S.[Shinji], Kasvand, T., and Hospital, M.,
Recognition and Positioning of Three-Dimensional Objects by Combining Matchings of Primitive Local Patterns,
CVGIP(44), No. 1, October 1988, pp. 58-76.
WWW Link. Recognize Three-Dimensional Objects. Model based recognition and pose estimation using edge information and surface information. BibRef 8810

Oka, R., Kasvand, T., and Rioux, M.,
Cross-Angle Transform for Viewer-Independent Recognition of 3-D Objects,
CVPR85(470-475). (National Research Council Canada) Recognize Three-Dimensional Objects. Descriptions based on the angles between pairs of faces, not directly the orientation of the faces. BibRef 8500

Jungert, E.[Erland],
Qualitative Spatial Reasoning from the Observers Point-of-View: Towards a Generalization of Symbolic Projection,
PR(27), No. 6, June 1994, pp. 801-813.
WWW Link. Spatial Reasoning. BibRef 9406

Chen, H.H.,
Pose Determination from Line-to-Plane Correspondences: Existence Condition and Closed-Form Solutions,
PAMI(13), No. 6, June 1991, pp. 530-541.
IEEE DOI BibRef 9106
Earlier: ICCV90(374-378).
IEEE DOI Lines correspond to the plane due to the use of planes of light. Closed form solutions are derived. BibRef

Penna, M.A.[Michael A.],
Determining Camera Parameters from the Perspective Projection of a Quadrilateral,
PR(24), No. 6, 1991, pp. 533-541.
WWW Link. Using a known quadrilateral, there is enough information to derive the camera position. BibRef 9100

Wong, K.C., Kittler, J.V.,
Recognizing polyhedral objects from a single perspective view,
IVC(11), No. 4, May 1993, pp. 211-220.
WWW Link. BibRef 9305
Earlier: BMVC92(590-599).
PDF File. 9209
BibRef

Wong, K.C., Kittler, J.V., and Illingworth, J.,
Analysis of Straight Homogeneous Generalized Cylinders under Perspective Projection,
VF91(613-622). BibRef 9100

Wong, K.C.,
Pose Determination and Recognition of 3D Polyhedral Objects from a Single Perspective View,
CVPR93(late-paper). BibRef 9300

Christy, S.[Stèphane], Horaud, R.[Radu],
Iterative Pose Computation from Line Correspondences,
CVIU(73), No. 1, January 1999, pp. 137-144.
DOI Link BibRef 9901
Earlier:
Fast and reliable object pose estimation from line correspondences,
CAIP97(432-439).
Springer DOI 9709
BibRef

Pan, X.[Xiang], Lane, D.M.[David M.],
Pose determination from angles and relative line lengths using spherical trigonometry,
IVC(17), No. 13, 1 November 1999, pp. 937-953.
WWW Link. 9911
BibRef

Gerwe, D.R.[David R.], Idell, P.S.[Paul S.],
Cramer-Rao Analysis of Orientation Estimation: Viewing Geometry Influences on the Information Conveyed by Target Features,
JOSA-A(20), No. 5, May 2003, pp. 797-816.
WWW Link.
PDF File. 0307
BibRef

Gerwe, D.R.[David R.], Hill, J.L.[Jennifer L.], Idell, P.S.[Paul S.],
Cramer-Rao Analysis of Orientation Estimation: Influence of Target Model Uncertainties,
JOSA-A(20), No. 5, May 2003, pp. 817-826.
WWW Link. 0307
BibRef

Liu, Y.H.[Yong-Huai], Holstein, H.[Horst],
Pseudo-linearizing collinearity constraint for accurate pose estimation from a single image,
PRL(25), No. 8, June 2004, pp. 955-965.
WWW Link. 0405
BibRef
Earlier:
A pseudo linearization method for accurate pose estimation from a single image,
ICIP02(II: 557-560).
IEEE DOI 0210
BibRef

Paramanand, C., Rajagopalan, A.N.,
Image matching with higher-order geometric features,
JOSA-A(27), No. 4, April 2010, pp. 739-748.
WWW Link. 1003
BibRef
Earlier:
Efficient geometric matching with higher-order features,
ICPR08(1-4).
IEEE DOI 0812
lines and arcs. BibRef

Fan, B.J.[Bao-Jie], Du, Y.K.[Ying-Kui], Cong, Y.[Yang],
Robust and accurate online pose estimation algorithm via efficient three-dimensional collinearity model,
IET-CV(7), No. 5, October 2013, pp. 382-393.
DOI Link 1402
iterative methods BibRef

Zhang, Y.Q.[Yue-Qiang], Li, X.[Xin], Liu, H.B.[Hai-Bo], Shang, Y.[Yang],
Probabilistic approach for maximum likelihood estimation of pose using lines,
IET-CV(10), No. 6, 2016, pp. 475-482.
DOI Link 1609
image segmentation. Pose from matched 3D model and 2D image lines. BibRef

Zhang, Y.Q.[Yue-Qiang], Li, X.[Xin], Liu, H.B.[Hai-Bo], Shang, Y.[Yang],
Comparative Study of Visual Tracking Method: A Probabilistic Approach for Pose Estimation Using Lines,
CirSysVideo(27), No. 6, June 2017, pp. 1222-1234.
IEEE DOI 1706
Cameras, Image segmentation, Maximum likelihood estimation, Noise measurement, Robustness, Three-dimensional displays, Uncertainty, Maximum-likelihood approach, model-based tracking, pose, estimation BibRef

Xu, C.[Chi], Zhang, L.[Lilian], Cheng, L.[Li], Koch, R.[Reinhard],
Pose Estimation from Line Correspondences: A Complete Analysis and a Series of Solutions,
PAMI(39), No. 6, June 2017, pp. 1209-1222.
IEEE DOI 1705
Cameras, Computational complexity, Iterative methods, Mathematical model, Pose estimation, Three-dimensional displays, Perspective-3-Line, camera pose estimation, configuration analysis, perspective-n-line BibRef

Zhang, L.[Lilian], Xu, C.[Chi], Lee, K.M.[Kok-Meng], Koch, R.[Reinhard],
Robust and Efficient Pose Estimation from Line Correspondences,
ACCV12(III:217-230).
Springer DOI 1304
BibRef


Hodan, T.[Tomáš], Matas, J.[Jirí], Obdržálek, Š.[Štepán],
On Evaluation of 6D Object Pose Estimation,
6DPose16(III: 606-619).
Springer DOI 1611
Code, Pose Estimation.
WWW Link. BibRef

Vakhitov, A.[Alexander], Funke, J.[Jan], Moreno-Noguer, F.[Francesc],
Accurate and Linear Time Pose Estimation from Points and Lines,
ECCV16(VII: 583-599).
Springer DOI 1611
BibRef

Salaün, Y.[Yohann], Marlet, R.[Renaud], Monasse, P.[Pascal],
Robust and Accurate Line- and/or Point-Based Pose Estimation without Manhattan Assumptions,
ECCV16(VII: 801-818).
Springer DOI 1611
BibRef

Berner, A.[Alexander], Li, J.[Jun], Holz, D.[Dirk], Stuckler, J.[Jorg], Behnke, S.[Sven], Klein, R.[Reinhard],
Combining contour and shape primitives for object detection and pose estimation of prefabricated parts,
ICIP13(3326-3330)
IEEE DOI 1402
contour primitives; object detection; pose estimation; shape primitives BibRef

Hirose, K.[Keisuke], Saito, H.[Hideo],
Fast Line Description for Line-based SLAM,
BMVC12(83).
DOI Link 1301
BibRef

Elqursh, A.[Ali], Elgammal, A.M.[Ahmed M.],
Line-based relative pose estimation,
CVPR11(3049-3056).
IEEE DOI 1106
BibRef

Murray, D.W., Reid, I.D., Thompson, R.L.,
Real-time Visual Recovery of Pose using Line Tracking in Multiple Cameras,
BMVC98(xx-yy).
HTML Version. BibRef 9800

Lanser, S., Lengauer, T.,
On the Selection of Candidates for Point and Line Correspondences,
SCV95(157-162).
IEEE DOI Technische Universitat Munchen. Use a priori knowledge to guide where to look, i.e. in a navigation task you know how things should move. BibRef 9500

Gandhi, T., Camps, O.I.,
Robust Feature Selection for Object Recognition using Uncertain 2D Image Data,
CVPR94(281-287).
IEEE DOI BibRef 9400

Pathak, A., and Camps, O.I.,
Bayesian View Class Determination,
CVPR93(407-412).
IEEE DOI Match features to a model for recognition of the pose. BibRef 9300

Lu, H.Y.[Hai-Yuan], Shapiro, L.G.[Linda G.], and Camps, O.I.[Octavia I.],
A Relational Pyramid Approach to View Class Determination,
3DWS89(177-183). BibRef 8900

Shapiro, L.G.[Linda G.], and Lu, H.Y.[Hai-Yuan],
The Use of a Relational Pyramid Representation for View Classes in a CAD-to-Vision System,
ICPR88(I: 379-381).
IEEE DOI 8811
BibRef

Navab, N., and Faugeras, O.D.,
Monocular Pose Determination from Lines: Critical Sets and Maximum Number of Solutions,
CVPR93(254-260).
IEEE DOI BibRef 9300

Shakunaga, T.,
Robust Line-Based Pose Estimation from a Single Image,
ICCV93(545-550).
IEEE DOI BibRef 9300
Earlier:
Pose Estimation of Jointed Structures,
CVPR91(566-572).
IEEE DOI BibRef

Ha, J., and Haralick, R.M.,
Estimation of the Position and Orientation of a Planar Surface Using Multiple Beams,
CVPR93(628-629).
IEEE DOI BibRef 9300

Chen, J.L., Stockman, G.C., and Rao, K.G.,
Recovering and Tracking Pose of Curved 3D Objects from 2D Images,
CVPR93(233-239).
IEEE DOI Tracking with examples that look a lot like 2-D images. BibRef 9300

You, Y.C., Lee, J.D., Lee, J.Y., Chen, C.H.,
Determining Location and Orientation of a Labelled Cylinder Using Point-Pair Estimation Algorithm,
ICPR92(I:354-357).
IEEE DOI BibRef 9200

Hong, K.S., Kim, K.N.,
Recognition Strategy Generation for Pose Estimation of Multiple 3-Dimensional Objects,
ICPR92(I:612-615).
IEEE DOI BibRef 9200

Safaee-Rad, R., Tchoukanov, I., Benhabib, B., Smith, K.C.,
3D-Pose Estimation From A Quadratic Curved Feature In Two Perspective Views,
ICPR92(I:341-344).
IEEE DOI BibRef 9200

Stahs, T., Wahl, F.M.,
Object Recognition and Pose Estimation with a Fast and Versatile 3D Robot Sensor,
ICPR92(I:684-687).
IEEE DOI BibRef 9200

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Matching, Areas, Regions, Surfaces .


Last update:Dec 7, 2017 at 17:23:10