Image analysis – Applications – Motion or velocity measuring
Reexamination Certificate
2006-02-07
2006-02-07
Johns, Andrew W. (Department: 2621)
Image analysis
Applications
Motion or velocity measuring
C382S103000, C382S151000, C382S154000, C382S291000
Reexamination Certificate
active
06996254
ABSTRACT:
An incremental motion estimation system and process for estimating the camera pose parameters associated with each image of a long image sequence. Unlike previous approaches, which rely on point matches across three or more views, the present system and process also includes those points shared only by two views. The problem is formulated as a series of localized bundle adjustments in such a way that the estimated camera motions in the whole sequence are consistent with each other. The result of the inclusion of two-view matching points and the localized bundle adjustment approach is more accurate estimates of the camera pose parameters for each image in the sequence than previous incremental techniques, and providing an accuracy approaching that of global bundle adjustment techniques except with processing times about 100 to 700 times faster than the global approaches.
REFERENCES:
patent: 6597818 (2003-07-01), Kumar et al.
patent: 6668082 (2003-12-01), Davison et al.
Shum et al., “Efficient Bundle Adjustment with Virtual Key Frames: A Hierarchical Approach to Multiframe Structure from Motion”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.: 2, Jun. 23-25, 1999, pp.: 538-543.
Avidan, S. and A. Shashua. Threading fundamental matrices. In Proc. 5thEuropean Conf. Computer Vision, vol. 1, pp. 124-140, 1998.
Beardsley, P., P. Torr, and A. Zisserman. 3D model acquisition from extended image sequences. In Proc. 4thEuropean Conf. Computer Vision, pp. 683-695, 1996.
Fitzgibbon, A. and A. Zisserman. Automatic camera recovery for closed or open image sequences. In Proc. 5thEuropean Conf. Computer vision, 1998.
McLauchlan, P. and D. Murray. A unifying framework for structure and motion recovery from image sequences. In Proc. Fifth Int'l Conf. Computer Vision, pp. 314-320, 1995.
Shi, J. and C. Tomasi. God features to track. In Proc. Conf. Computer Sision and Pattern Recognition, pp. 593-600, Seattle, WA, 1994.
Triggs, B., P. McLauchlan, R. Hartley, and A. Fitzgibbon. Bundle adjustment—a modern synthesis. In Proc. Int'l Workshop Vision Algorithms: Theory and Practice, pp. 298-372, 1999.
Zhang, Z., R. Deriche, O. Faugeras, and Q. -T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence Journal, 78:87-119, Oct. 1995.
Shan Ying
Zhang Zhengyou
Edwards Patrick L
Johns Andrew W.
Lyon Richard T.
Lyon & Harr LLP
Microsoft Corporation
LandOfFree
Incremental motion estimation through local bundle adjustment does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Incremental motion estimation through local bundle adjustment, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Incremental motion estimation through local bundle adjustment will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3665112