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.
|Title of host publication||Proceedings of the Scandinavian Image Analysis - SCIA'01|
|Publication status||Published - 2001|
|Event||Proceedings of the Scandinavian Image Analysis - SCIA'01 - |
Duration: 1 Jan 2001 → …
|Conference||Proceedings of the Scandinavian Image Analysis - SCIA'01|
|Period||01/01/2001 → …|