25 September 2003 Projective reconstruction from uncalibrated video sequence
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538968
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
The 3D reconstruction of video sequences in this paper need not to know the parameters and locations of the camera. First step of our reconstruction is feature point matching and stereo correspondence by Singular Value Decomposition (SVD). After getting the redundant information between image sequences, we introduce stratification algorithm to get 3D model. We at first get 3D model in projective space, and then get that of Euclidean space by using constrain information.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jifeng Sun, Xuelian Jiang, Xing Xu, "Projective reconstruction from uncalibrated video sequence", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538968; https://doi.org/10.1117/12.538968
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