Television – Monitoring – testing – or measuring – Testing of camera
Reexamination Certificate
2007-07-31
2007-07-31
Natnael, Paulos (Department: 2622)
Television
Monitoring, testing, or measuring
Testing of camera
Reexamination Certificate
active
11275457
ABSTRACT:
Calibration for a camera is achieved by receiving images of a calibration object whose geometry is one-dimension in space. The received images show the calibration object in several distinct positions. Calibration for the camera is then calculated based on the received images of the calibration object.
REFERENCES:
patent: 5444481 (1995-08-01), Oshima et al.
patent: 5579444 (1996-11-01), Dalziel et al.
patent: 5699440 (1997-12-01), Carmeli
patent: 5745126 (1998-04-01), Jain et al.
patent: 5821993 (1998-10-01), Robinson
patent: 6016161 (2000-01-01), Robinson
patent: 6147702 (2000-11-01), Smith
patent: 6288385 (2001-09-01), Miramonti et al.
patent: 6377298 (2002-04-01), Scheele et al.
patent: 6437823 (2002-08-01), Zhang
patent: 6444481 (2002-09-01), Pasadyn et al.
patent: 2332094 (2002-07-01), None
patent: 195 36 297 (1997-04-01), None
Liebowitz, et al., “Metric Rectification for Perspective Images of Planes”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, California, Jun. 1998, pp. 482-488.
Luong, et al., “Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices”, The International Journal of Computer Vision, 22(3), 1997, pp. 261-289.
Maybank, et al., “A Theory of Self-Calibration of a Moving Camera”, The International Journal of Computer Vision, 8(2), Aug. 1992, pp. 123-153.
J.J. More, “The Levenberg-Marquardt Algorithm: Implementation and Theory”, G.A. Watson, editor, Numberical Analysis, Lecture Notes in Mathematics 630, 1997, Springer-Verlag, pp. 105-116.
G. Stein, “Accurate Internal Camera Calibration Using Rotation, with Analysis of Sources of Error”, Proc. Fifth International Conference on Computer Vision, Cambridge, Massachusetts, Jun. 1995, pp. 230-236.
Sturm, et al., “On Plane-Based Camera Calibration: A General Algorithm, Singularities, Applications”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, Jun. 1999, pp. 432-437.
B. Triggs, “Autocalibration from Planar Scenes”, Proceedings of the 5th European Conference on Computer Vision, Freiburg, Germany, Jun. 1998, pp. 89-105.
Roger Y Tsai, “A Versatile Camera Calibration Technique For High-Accuracy 3D Machine Vision Metrology Using Off-The-Shelf TV Cameras and Lenses”, IEEE Journal of Robotics and Automation, vol. 3, No. 4, Aug. 1987, pp. 323-344.
G.Q. Wei, et al, “A Complete Two-Plane Camera Calibration Method and Experimental Comparisons”, Proc 4th International Conference on Computer Vision, Berlin, May 1993, pp. 439-446.
J. Weng, et al, “Camera Calibration with Distortion Models and Accuracy Evaluation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(10), Oct. 1992, pp. 965-980.
Z. Zheng, “A Flexible New Technique for Camera Calibration”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), Nov. 2000, pp. 1330-1334.
Duane C. Brown, “Close-range Camera Calibration”, Photogrammetric Engineering, 37(8), 1971, pp. 855-866.
Caprile, et al., “Using Vanishing Points for Camera Calibration”, The International Journal of Computer Vision, 4(2), Mar. 1990, pp. 127-139.
W. Faig, “Calibration of Close-Range Photogrammetry Systems: Mathematical Formulation”, Photogrammetric Engineering and Remote Sensing, 41(12), 1975, pp. 1479-1486.
Faugeras, et al., “Camera Self-Calibration: Theory and Experiments”, Proc 2nd ECCV, vol. 588 of Lecture Notes in Computer Science, Santa Margherita Ligure, Italy, Springer-Verlag, May 1992, pp. 321-334.
Faugeras, et al. “The Calibration Problem for Stereo”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, Jun. 1986, pp. 15-20.
Olivier Faugeras, “Three-Dimensional Computer Vision: a Geometric Viewpoint”, MIT Press, 1993, 663 pages.
S. Ganapathy, “Decomposition of Transformation Matrices for Robot Vision”, Pattern Recognition Letters, Dec. 2, 1984, pp. 401-412.
D. Gennery, “Stereo-Camera Calibration”, Proceedings of the 10th Image Understanding Workshop, 1979, pp. 101-107.
Richard Hartley, “An Algorithm for Self Calibration from Several Views”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, Jun. 1994, pp. 908-912.
Richard Hartley, “Self-Calibration from Multiple Views with a Rotating Camera”, J. Eklundh, editor, Proceedings of the 3rd European Conference on Computer Vision, vol. 800 of Lecture Notes in Computer Science, Stockholm, Sweden, Springer-Verlag, May 1994, pp. 471-478.
Microsoft Corporation
Natnael Paulos
LandOfFree
System and method for calibrating a camera with... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for calibrating a camera with..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for calibrating a camera with... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3763861