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Published Articles >> Table of Contents >> Abstract
Fifth International Conference on Computer Vision (ICCV'95)
p. 290
Structure and motion estimation from dynamic silhouettes under perspective projection
T. Joshi, Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
N. Ahuja, Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
J. Ponce, Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466927
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| Abstract |
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Addresses the problem of estimating the structure and motion of a smooth curved object from its silhouettes observed over time by a trinocular stereo rig under perspective projection. We first construct a model for the local structure along the silhouette for each frame in the temporal sequence. Successive local models are then integrated into a global surface description by estimating the motion between successive time instants. The algorithm tracks certain surface features (parabolic points) and image features (silhouette inflections and frontier points) which are used to bootstrap the motion estimation process. The entire silhouette along with the reconstructed local structure are then used to refine the initial motion estimate. We have implemented the proposed approach and report results on real images.
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 Additional Information
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Index Terms- image sequences; computer vision; motion estimation; stereo image processing; structure estimation; motion estimation; dynamic silhouettes; perspective projection; smooth curved object; trinocular stereo rig; reconstructed local structure; temporal sequence; global surface description; surface feature tracking; parabolic points; image features; silhouette inflections; frontier points
Citation:
T. Joshi, N. Ahuja, J. Ponce,
"Structure and motion estimation from dynamic silhouettes under perspective projection,"
iccv,
p. 290,
Fifth International Conference on Computer Vision (ICCV'95),
1995
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