Integrating prior knowledge and structure from motion |
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Abstract | A new approach for formulating prior knowledge in structure form motion is presented, where the structure is viewed as a 3D stochastic variable, hereby priors are more naturally expressed. It is demonstrated that this formulation is efficient for regularizing structure reconstruction via prior knowledge. Specifically algorithms for imposing priors in the proposed formulation are presented |
Type | Conference paper [With referee] |
Conference | Proceedings of the Scandinavian Image Analysis (SCIA'01) |
Editors | Ivar Austvoll |
Year | 2001 Month June pp. 477-481 |
Address | Bergen, Norway |
Electronic version(s) | [pdf] |
BibTeX data | [bibtex] |
IMM Group(s) | Image Analysis & Computer Graphics |