Integrating prior knowledge and structure from motion



AbstractA 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
TypeConference paper [With referee]
ConferenceProceedings of the Scandinavian Image Analysis (SCIA'01)
EditorsIvar Austvoll
Year2001    Month June    pp. 477-481
AddressBergen, Norway
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics