15.2.6 Camera Calibration, Perspective Based, Vanishing Points

Chapter Contents (Back)
Camera Calibration. Camera Calibration, Perspective. Perspective, Camera Calibration. Vanishing Points. See also Shape and Structure from Perspective Effects, Vanishing Points, Detection.

Haralick, R.M., Chu, Y.H.,
Solving Camera Parameters from the Perspective Projection of a Parameterized Curve,
PR(17), No. 6, 1984, pp. 637-645.
WWW Link. BibRef 8400

Horaud, R., Conio, B., Leboulleux, O., and Lacolle, B.,
An Analytic Solution for the Perspective 4-Point Problem,
CVGIP(47), No. 1, July 1989, pp. 33-44.
WWW Link. BibRef 8907
And: Erratum: CVGIP(48), No. 2, November 1989, pp. 277-278. BibRef
And: CVPR89(500-507).
IEEE DOI Find the camera position given n correspondence points. Here n=4. BibRef

Caprile, B., and Torre, V.,
Using Vanishing Points for Camera Calibration,
IJCV(4), No. 2, March 1990, pp. 127-140.
Springer DOI Using images of a cube, finge the intrisic parameters of each camera, then the relative parameters of the two cameras. BibRef 9003

Li, S., Tsuji, S., and Imai, M.,
Determining Camera Rotation from Vanishing Points of Lines on Horizontal Planes,
ICCV90(499-502).
IEEE DOI BibRef 9000

Haralick, R.M.,
Determining Camera Parameters from the Perspective Projection of a Rectangle,
PR(22), No. 3, 1989, pp. 225-230.
WWW Link. BibRef 8900

Chen, W., Jiang, B.C.,
3-D Camera Calibration Using Vanishing Point Concept,
PR(24), No. 1, 1991, pp. 57-67.
WWW Link. Identify points on a grid. Find horizontal and vertical lines. Find the 2 vanishing points. Compute the camera and roataion matrix. BibRef 9100

Penna, M.A.,
Camera Calibration: A Quick and Easy Way to Determine the Scale Factor,
PAMI(13), No. 12, December 1991, pp. 1240-1245.
IEEE DOI BibRef 9112

Kanatani, K.,
Statistical Analysis of Focal-Length Calibration Using Vanishing Points,
RA(8), 1992, pp. 767-775. BibRef 9200

Daniilidis, K.[Konstanos], Ernst, J.[Jorg],
Active Intrinsic Calibration Using Vanishing Points,
PRL(17), No. 11, September 16 1996, pp. 1179-1189. 9611

PS File. BibRef
Earlier: CVPR96(708-713).
IEEE DOI BibRef

Lobo, J.[Jorge], Dias, J.[Jorge],
Vision and inertial sensor cooperation using gravity as a vertical reference,
PAMI(25), No. 12, December 2003, pp. 1597-1608.
IEEE Abstract. 0401
Inertial sensor for vertical, then with one vanishing point the camera focal distance and external parameters. BibRef

Gao, X.S.[Xiao-Shan], Hou, X.R.[Xiao-Rong], Tang, J.[Jianliang], Cheng, H.F.[Hang-Fei],
Complete solution classification for the perspective-three-point problem,
PAMI(25), No. 8, August 2003, pp. 930-943.
IEEE Abstract. 0308
Pose from n points. Algebraic approach (Wu-Ritt zero decomposition) Analyze to determine how many solutions exist (1 to 4). And a Geometric approach. BibRef

Gao, X.S.[Xiao-Shan], Tang, J.[Jianliang],
On the Probability of the Number of Solutions for the P4P Problem,
JMIV(25), No. 1, July 2006, pp. 79-86.
Springer DOI 0610
BibRef

Guillemaut, J.Y., Aguado, A.S., Illingworth, J.,
Using Points at Infinity for Parameter Decoupling in Camera Calibration,
PAMI(27), No. 2, February 2005, pp. 265-270.
IEEE Abstract. 0501
BibRef
Earlier: BMVC02(Poster Session). 0208
BibRef

Wu, Y.H.[Yi-Hong], Hu, Z.Y.[Zhan-Yi],
PnP Problem Revisited,
JMIV(24), No. 1, January 2006, pp. 131-141.
Springer DOI 0605
Perspective n Point camera pose determination. For any three non-collinear control points, the optical center can have 4 solutions. Explore distance-based and transform based solutions. BibRef

Grammatikopoulos, L.[Lazaros], Karras, G.E.[George E.], Pets, E.[Elli],
An automatic approach for camera calibration from vanishing points,
PandRS(62), No. 1, May 2007, pp. 64-76.
WWW Link. 0709
Automation; Calibration; Distortion; Edge; Extraction BibRef

Grammatikopoulos, L.[Lazaros], Karras, G.E.[George E.], Pets, E.[Elli], Kalisperakis, I.,
A unified approach for automatic camera calibration from vanishing points,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Avinash, N., Murali, S.,
Perspective Geometry Based Single Image Camera Calibration,
JMIV(30), No. 3, March 2008, pp. 221-230.
Springer DOI 0802
BibRef

Avinash, N., Murali, S.,
Correction for Camera Roll in a Perspectively Distorted Image: Cases for 2 and 3 point perspectives,
ELCVIA(6), No. 3, 2007, pp. xx-yy.
WWW Link. 0909
BibRef

Wang, G.H.[Guang-Hui], Wu, Q.M.J.[Q. M. Jonathan], Ji, Z.Q.[Zheng-Qiao],
Single view based pose estimation from circle or parallel lines,
PRL(29), No. 7, 1 May 2008, pp. 977-985.
WWW Link. 0711
BibRef
Earlier:
Pose Estimation from Circle or Parallel Lines in a Single Image,
ACCV07(II: 363-372).
Springer DOI 0711
Pose estimation; Robot localization; Imaged circular points; Single view metrology See also Kruppa equation based camera calibration from homography induced by remote plane. BibRef

Xu, D.[De], Li, Y.F.[You Fu], Tan, M.[Min],
A general recursive linear method and unique solution pattern design for the perspective-n-point problem,
IVC(26), No. 6, 1 June 2008, pp. 740-750.
WWW Link. 0804
Perspective-n-point problem; Pattern design; Three-dimensional sensing; Pose estimation; Visual positioning; Recursive least square; Solution distribution; Solution stability BibRef

Wu, Y.H.[Yi-Hong], Li, Y.F.[You-Fu], Hu, Z.Y.[Zhan-Yi],
Detecting and Handling Unreliable Points for Camera Parameter Estimation,
IJCV(79), No. 2, August 2008, pp. xx-yy.
Springer DOI 0711
BibRef

Li, W.M.[Wei-Ming], Li, Y.F.[You-Fu],
Generic camera model and its calibration for computational integral imaging and 3D reconstruction,
JOSA-A(28), No. 3, March 2011, pp. 318-327.
WWW Link. 1103
BibRef

Hughes, C.[Ciaran], Denny, P.[Patrick], Glavin, M.[Martin], Jones, E.[Edward],
Equidistant Fish-Eye Calibration and Rectification by Vanishing Point Extraction,
PAMI(32), No. 12, December 2010, pp. 2289-2296.
IEEE DOI 1011
Photogrammetrically estimate the intrinsic and extrinsic parameters of fish-eye camera using vanishing point estimation. BibRef

Gerke, M.[Markus],
Using horizontal and vertical building structure to constrain indirect sensor orientation,
PandRS(66), No. 1, January 2011, pp. 307-316.
Elsevier DOI 1103
Adjustment; Bundle; Calibration; Oblique airborne images; UAV BibRef

Li, S.[Shiqi], Xu, C.[Chi], Xie, M.[Ming],
A Robust O(n) Solution to the Perspective-n-Point Problem,
PAMI(34), No. 7, July 2012, pp. 1444-1450.
IEEE DOI 1205
Noniterative solution Robustly retrieve the optimum by solving a seventh order polynomial. Divide into 3 point subsets (series of 4th order polynomials), form cost function, find roots of cost function to find optimum. BibRef

Guo, Y.[Yang],
A Novel Solution to the P4P Problem for an Uncalibrated Camera,
JMIV(45), No. 2, February 2013, pp. 186-198.
WWW Link. 1302
BibRef

Havel, J.[Jirí], Herout, A.[Adam], Dubská, M.[Markéta],
Vanishing points in point-to-line mappings and other line parameterizations,
PRL(34), No. 6, 15 April 2013, pp. 703-708.
Elsevier DOI 1303
Line parameterization; Hough transform; Vanishing points; Camera calibration BibRef

Censi, A.[Andrea], Scaramuzza, D.[Davide],
Calibration by Correlation Using Metric Embedding from Nonmetric Similarities,
PAMI(35), No. 10, 2013, pp. 2357-2370.
IEEE DOI 1309
Calibrate a generic single-view point camera just by waving it around. BibRef

Kneip, L.[Laurent], Scaramuzza, D.[Davide], Siegwart, R.[Roland],
A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation,
CVPR11(2969-2976).
IEEE DOI 1106
BibRef

Orghidan, R.[Radu], Salvi, J.[Joaquim], Gordan, M.[Mihaela], Florea, C.[Camelia], Batlle, J.[Joan],
Structured light self-calibration with vanishing points,
MVA(25), No. 2, February 2014, pp. 489-500.
Springer DOI 1402
BibRef

Orghidan, R.[Radu], Gordan, M., Vlaicu, A.[Aurel], Salvi, J.,
Projector-camera calibration for 3D reconstruction using vanishing points,
IC3D12(1-6)
IEEE DOI 1503
calibration BibRef

Zhu, H.J.[Hai-Jiang], Xu, X.B.[Xiao-Bo], Zhou, J.L.[Jing-Lin], Wang, X.J.[Xue-Jing],
Using vanishing points to estimate parameters of fisheye camera,
IET-CV(7), No. 5, October 2013, pp. 362-372.
DOI Link 1402
cameras BibRef

Zhao, Z.J.[Zi-Jian], Weng, Y.[Ying],
Recovering Euclidean structure from principal-axes paralleled conics: applications to camera calibration,
JOSA-A(31), No. 6, June 2014, pp. 1186-1193.
DOI Link 1407
Machine vision; Vision; Algorithms ; Calibration BibRef

Zhao, Z.J.[Zi-Jian], Weng, Y.[Ying],
Recovering Euclidean structure by conics and spheres: application to camera calibration,
JOSA-A(32), No. 5, May 2015, pp. 902-909.
DOI Link 1505
Vision; Algorithms ; Calibration BibRef

Zhao, Z.J.[Zi-Jian],
Euclidean Structure from Conic Feature Correspondences,
ICPR14(4010-4014)
IEEE DOI 1412
Calibration BibRef

Vynnycky, M., Kanev, K.,
Mathematical Analysis of the Multisolution Phenomenon in the P3P Problem,
JMIV(51), No. 2, February 2015, pp. 326-337.
Springer DOI 1503
Perspective 3-Point Problem. BibRef

Miraldo, P., Araujo, H., Goncalves, N.,
Pose Estimation for General Cameras Using Lines,
Cyber(45), No. 10, October 2015, pp. 2156-2164.
IEEE DOI 1509
Cameras BibRef


Verykokou, S.[Styliani], Ioannidis, C.[Charalabos],
Exterior Orientation Estimation Of Oblique Aerial Imagery Using Vanishing Points,
ISPRS16(B3: 123-130).
DOI Link 1610
BibRef

Hussain, W., Civera, J., Montano, L., Hebert, M.,
Dealing with small data and training blind spots in the Manhattan world,
WACV16(1-9)
IEEE DOI 1511
Cameras BibRef

Pribyl, B.[Bronislav], Zemcík, P.[Pavel], Cadik, M.[Martin],
Camera Pose Estimation from Lines using Plücker Coordinates,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Li-Chee-Ming, J., Armenakis, C.,
A Feasibility Study on Using Visp's 3D Model-Based Tracker for UAV Pose Estimation in Outdoor Environments,
UAV-g15(329-335).
DOI Link 1512
BibRef

Lee, J.K.[Jeong-Kyun], Yoon, K.J.[Kuk-Jin],
Real-time joint estimation of camera orientation and vanishing points,
CVPR15(1866-1874)
IEEE DOI 1510
BibRef

Masselli, A.[Andreas], Zell, A.[Andreas],
A New Geometric Approach for Faster Solving the Perspective-Three-Point Problem,
ICPR14(2119-2124)
IEEE DOI 1412
Cameras BibRef

Ying, X.H.[Xiang-Hua], Wang, G.[Ganwen], Mei, X.[Xiang], Yang, S.[Sen], Zha, H.B.[Hong-Bin],
The Perspective-3-Point Problem When Using a Planar Mirror,
ICPR14(4033-4037)
IEEE DOI 1412
Calibration BibRef

Melo, R., Antunes, M., Barreto, J.P., Falcao, G., Goncalves, N.,
Unsupervised Intrinsic Calibration from a Single Frame Using a 'Plumb-Line' Approach,
ICCV13(537-544)
IEEE DOI 1403
Distortion; HFL; Plumb-line; Unsupervised; calibration BibRef

Lefler, M., Hel-Or, H., Hel-Or, Y.,
Metric plane rectification using symmetric vanishing points,
ICIP13(300-304)
IEEE DOI 1402
Cameras BibRef

Buch, A.G.[Anders Glent], Jessen, J.B.[Jeppe Barsře], Kraft, D.[Dirk], Savarimuthu, T.R.[Thiusius Rajeeth],
Extended 3D Line Segments from RGB-D Data for Pose Estimation,
SCIA13(54-65).
Springer DOI 1311
BibRef

Guo, Y.[Yang],
A note on the number of solutions of the coplanar P4P problem,
ICARCV12(1413-1418).
IEEE DOI 1304
Perspective 4 point BibRef

Kong, J.[Jing], Ying, X.H.[Xiang-Hua], Pu, S.T.[Song-Tao], Hou, Y.B.[Yong-Bo], Guan, S.[Sheng], Wang, G.W.[Gan-Wen], Zha, H.B.[Hong-Bin],
Camera Calibration Using Vertical Lines,
CompPhot12(I:218-229).
Springer DOI 1304
BibRef

Hallquist, A., Zakhor, A.,
Single view pose estimation of mobile devices in urban environments,
WACV13(347-354).
IEEE DOI 1303
pose of the cell phone. BibRef

Kawabata, S.[Satoshi], Kawai, Y.[Yoshihiro],
Plane based multi camera calibration under unknown correspondence using ICP-like approach,
ICPR12(3700-3703).
WWW Link. 1302
BibRef

Takahashi, K.[Kosuke], Nobuhara, S.[Shohei], Matsuyama, T.[Takashi],
A new mirror-based extrinsic camera calibration using an orthogonality constraint,
CVPR12(1051-1058).
IEEE DOI 1208
BibRef

Micusik, B., Wildenauer, H.,
Minimal Solution for Uncalibrated Absolute Pose Problem with a Known Vanishing Point,
3DV13(143-150)
IEEE DOI 1311
eigenvalues and eigenfunctions See also Vanishing Point Detection in Complex Man-made Worlds. BibRef

Wildenauer, H.[Horst], Hanbury, A.[Allan],
Robust camera self-calibration from monocular images of Manhattan worlds,
CVPR12(2831-2838).
IEEE DOI 1208
BibRef

Lee, K.Z.[Kual-Zheng],
A Simple Calibration Approach to Single View Height Estimation,
CRV12(161-166).
IEEE DOI 1207
Vanishing point based. BibRef

Hesch, J.A.[Joel A.], Roumeliotis, S.I.[Stergios I.],
A Direct Least-Squares (DLS) method for PnP,
ICCV11(383-390).
IEEE DOI 1201
perspective-n-point camera pose determination for n GE 3. BibRef

Wang, F.[Fei], Jiang, C.[Caigui], Zheng, N.N.[Nan-Ning], Guo, Y.[Yu],
Camera Pose Estimation Based on Angle Constraints,
ISVC10(I: 96-107).
Springer DOI 1011
BibRef

Rangarajan, P.[Prasanna], Papamichalis, P.[Panos],
Estimating homographies without normalization,
ICIP09(3517-3520).
IEEE DOI 0911
BibRef

Kim, Z.[ZuWhan],
Camera calibration from orthogonally projected coordinates with noisy-RANSAC,
WACV09(1-7).
IEEE DOI 0912
BibRef

Zhang, X.L.[Xiao-Long], Zhou, J.[Jin], Li, B.X.[Bao-Xin],
Robust Two-View External Calibration by Combining Lines and Scale Invariant Point Features,
ISVC08(I: 825-835).
Springer DOI 0812
BibRef

Tal, R.[Ron], Elder, J.H.[James H.],
An Accurate Method for Line Detection and Manhattan Frame Estimation,
IWMV12(II:580-593).
Springer DOI 1304
BibRef

Denis, P.[Patrick], Elder, J.H.[James H.], Estrada, F.J.[Francisco J.],
Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery,
ECCV08(II: 197-210).
Springer DOI 0810
Camera calibration assuming urban scene, rectangular features. BibRef

Kalantaria, M.[Mahzad], Jung, F.[Franck], Paparoditis, N.[Nicolas], Guedon, J.P.[Jean-Pierre],
Robust and Automatic Vanishing Points Detection with Their Uncertainties from a Single Uncalibrated Image, by Planes Extraction on the Unit Sphere,
ISPRS08(B3a: 203 ff).
PDF File. 0807
BibRef

Conomis, C.[Christos],
Conics-Based Homography Estimation from Invariant Points and Pole-Polar Relationships,
3DPVT06(908-915).
IEEE DOI 0606
BibRef

Olsson, C.[Carl], Kahl, F.[Fredrik], Oskarsson, M.[Magnus],
Optimal Estimation of Perspective Camera Pose,
ICPR06(II: 5-8).
IEEE DOI 0609
BibRef

Wang, J.H.[Jian-Hua], Liu, Y.C.[Yun-Cai],
Characteristic Line of Planar Homography Matrix and Its Applications in Camera Calibration,
ICPR06(I: 147-150).
IEEE DOI 0609
BibRef

Pisinger, G.[Georg], Maier, G.[Georg],
Re-projective Pose Estimation of a Planar Prototype,
MIRAGE09(82-93).
Springer DOI 0905
BibRef

Pisinger, G., Hanning, T.[Tobias],
Closed Form Monocular Re-Projective Pose Estimation,
ICIP07(V: 197-200).
IEEE DOI 0709
BibRef

Hanning, T.[Tobias], Schoene, R., Graf, S.[Simone],
A Closed Form Solution for Monocular Re-Projective 3D Pose Estimation of Regular Planar Patterns,
ICIP06(2197-2200).
IEEE DOI 0610
BibRef

Hanning, T.[Tobias], Graf, S., Kellner, M.,
Re-Projective vs. Projective Camera Calibration: Effects on 3D-Reconstruction,
ICIP05(II: 1170-1173).
IEEE DOI 0512
BibRef

Harker, M.J.[Matthew J.], O'Leary, P.L.[Paul L.],
Direct Estimation of Homogeneous Vectors: An Ill-Solved Problem in Computer Vision,
ICCVGIP06(919-930).
Springer DOI 0612
BibRef
Earlier:
Computation of Homographies,
BMVC05(xx-yy).
HTML Version. 0509
Vanishing line is main input. BibRef

Kotb, M.[Mohamed], Beauchemin, S.S.[Steven S.],
Generalizing Inverse Perspective,
CRV05(521-527).
IEEE DOI 0505
BibRef

Gallagher, A.C.[Andrew C.],
Using Vanishing Points To Correct Camera Rotation In Images,
CRV05(460-467).
IEEE DOI 0505
BibRef

Förstner, W.[Wolfgang],
Projective Geometry for Photogrammetric Orientation Procedures I,
ISPRS04(Part I).
HTML Version. BibRef 0400
And:
Projective Geometry for Photogrammetric Orientation Procedures II,
ISPRS04(Part II). Tutorial notes from the ISPRS Congress
HTML Version. BibRef

Hayet, J.B., Piater, J.H., Verly, J.G.,
Fast 2D Model-To-Image Registration Using Vanishing Points for Sports Video Analysis,
ICIP05(III: 417-420).
IEEE DOI 0512
BibRef

Foroosh, H., Cao, X.C.[Xiao-Chun], Balci, M.,
Metrology in Uncalibrated Images Given One Vanishing Point,
ICIP05(III: 361-364).
IEEE DOI 0512
BibRef

Ying, X.H.[Xiang-Hua], Zha, H.B.[Hong-Bin],
Camera Pose Determination From a Single View of Parallel Lines,
ICIP05(III: 1056-1059).
IEEE DOI 0512
BibRef

Sugimura, Y., Sato, J.,
Camera calibration and reconstruction from the chain connection of mutual camera projections,
ICPR04(I: 100-103).
IEEE DOI 0409
BibRef

Schindler, G., Dellaert, F.,
Atlanta world: an expectation maximization framework for simultaneous low-level edge grouping and camera calibration in complex man-made environments,
CVPR04(I: 203-209).
IEEE DOI 0408
BibRef

Zeller, C.,
Projective, Affine and Euclidean Calibration in Computer Vision and the Application of Three-Dimensional Perception,
Ph.D.Thesis, RobotVis Group, INRIA, 1996. BibRef 9600

Broadhurst, A.[Adrian], Cipolla, R.[Roberto],
Calibration of Image Sequences for Model Visualisation,
CVPR99(I: 100-105).
IEEE DOI Projective matrix for a sequence, given correspondences. BibRef 9900

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Recovery of Intrinsic and Extrinsic Camera Parameters using Perspective Views of Rectangles,
BMVC95(xx-yy).
PDF File. 9509
BibRef

Worrall, A.D., Sullivan, G.D., Baker, K.D.,
A Simple, Intuitive Camera Calibration Tool for Natural Images,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Wei, G.Q., He, Z.Y.,
Determining Vanishing Point and Camera Parameter: New Approaches,
ICPR88(I: 450-452).
IEEE DOI BibRef 8800

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Fundamental Matrix Computation and Use .


Last update:Jan 11, 2017 at 16:41:39