Abstract
Recently, it has been shown that invariants on motions can be extracted from sequential images and these can be applied for recognizing dynamic events from images viewed from arbitrary viewpoints. These invariants are called space-time invariants since they are defined in space and time. Unfortunately, the existing space-time invariants are limited for planar motions viewed from affine cameras. In this paper, we propose a method for computing space-time invariants on general 3D motions viewed from projective cameras. Furthermore, we show that by using the epipolar geometry derived from the mutual projection of cameras, the stability of space-time invariants can be improved drastically. The extracted invariants are applied for distinguishing non-rigid 3D motions from video sequences viewed from arbitrary viewpoints.
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© 2006 Springer-Verlag Berlin Heidelberg
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Piao, Y., Sato, J. (2006). Space-Time Invariants for 3D Motions from Projective Cameras. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_81
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DOI: https://doi.org/10.1007/11612704_81
Publisher Name: Springer, Berlin, Heidelberg
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