Structure and motion estimation from dynamic silhouettes under perspective projection

Tanuja Joshi, Narendra Ahuja, Jean Ponce

Research output: Contribution to conferencePaper

Abstract

We address 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.

Original languageEnglish (US)
Pages290-295
Number of pages6
StatePublished - Jan 1 1995
EventProceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA
Duration: Jun 20 1995Jun 23 1995

Other

OtherProceedings of the 5th International Conference on Computer Vision
CityCambridge, MA, USA
Period6/20/956/23/95

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Joshi, T., Ahuja, N., & Ponce, J. (1995). Structure and motion estimation from dynamic silhouettes under perspective projection. 290-295. Paper presented at Proceedings of the 5th International Conference on Computer Vision, Cambridge, MA, USA, .