15.2.5 Camera Calibration -- Perspective Based, Vanishing Points

Chapter Contents (Back)
Camera Calibration. Camera Calibration, Perspective. Perspective, Camera Calibration. Vanishing Points.

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 Version. 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 Version. BibRef 8907
And: Erratum: CVGIP(48), No. 2, November 1989, pp. 277-278. BibRef
And: CVPR89(500-507).
IEEE Abstract. IEEE Top Reference. 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. Using images of a cube, finge the intrisic parameters of each camera, then the relative parameters of the two cameras. BibRef 9003

Wang, L.L., and Tsai, W.H.,
Camera Calibration by Vanishing Lines for 3-D Computer Vision,
PAMI(13), No. 4, April 1991, pp. 370-376.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9104
And:
Computing Camera Parameters Using Vanishing-Line Information from a Rectangular Parallelepiped,
MVA(3), No. 3, 1990, pp. 129-141. Vanishing Points. Related to their other calibration papers (see above and applications). Generate the vanishing line of the ground plane and derive the camera parameters using a known hexagonal target. BibRef

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

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

Chen, W., Jiang, B.C.,
3-D Camera Calibration Using Vanishing Point Concept,
PR(24), No. 1, 1991, pp. 57-67.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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
Postscript Version. BibRef
Earlier: CVPR96(708-713).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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. IEEE Top Reference. 0401Inertial 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. IEEE Top Reference. 0308Pose 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.
WWW Version. 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. IEEE Top Reference. 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.
WWW Version. 0605Perspective 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 Version. 0709Automation; 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 Version. 0609 BibRef

Avinash, N., Murali, S.,
Perspective Geometry Based Single Image Camera Calibration,
JMIV(30), No. 3, March 2008, pp. 221-230.
WWW Version. 0802 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 Version. 0711 BibRef
Earlier:
Pose Estimation from Circle or Parallel Lines in a Single Image,
ACCV07(II: 363-372).
WWW Version. 0711Pose estimation; Robot localization; Imaged circular points; Single view metrology 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 Version. 0804Perspective-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.
WWW Version. 0711 BibRef


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

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

Pisinger, G., Hanning, T.[Tobias],
Closed Form Monocular Re-Projective Pose Estimation,
ICIP07(V: 197-200).
WWW Version. 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). 0610
WWW Version. BibRef

Hanning, T.[Tobias], Graf, S., Kellner, M.,
Re-Projective vs. Projective Camera Calibration: Effects on 3D-Reconstruction,
ICIP05(II: 1170-1173).
WWW Version. 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).
WWW Version. 0612 BibRef
Earlier:
Computation of Homographies,
BMVC05(xx-yy).
HTML Version. 0509Vanishing line is main input. BibRef

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

Gallagher, A.C.[Andrew C.],
Using Vanishing Points To Correct Camera Rotation In Images,
CRV05(460-467).
WWW Version. 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).
WWW Version. 0512 BibRef

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

Sugimura, Y., Sato, J.,
Camera calibration and reconstruction from the chain connection of mutual camera projections,
ICPR04(I: 100-103).
WWW Version. 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 Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference.
WWW Version. Projective matrix for a sequence, given correspondences. BibRef 9900

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

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


Last update:Jun 25, 2008 at 13:37:57