In this paper the structure from motion (SfM) problem is addressed using sequential Monte Carlo methods. A new SfM algorithm based on random sampling is derived to estimate the posterior distributions of camera camera motion and scene structure for the perspective projection camera model. Experimental results show that challenging issues in solving the structure from motion problem including errors in feature tracking, feature occlusion, motion/structure ambiguity, processing mixed-domain sequences and handling mismatched features can be well modeled and effectively addressed using the proposed method.
Structure from motion using sequential Monte Carlo methods
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 ; 2 ; 614-621 vol.2
2001-01-01
925094 byte
Conference paper
Electronic Resource
English
Structure from Motion Using Sequential Monte Carlo Methods
British Library Online Contents | 2004
|Structure from Motion Using Sequential Monte Carlo Methods
British Library Conference Proceedings | 2001
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