Final Report Summary - DYNAMIC MINVIP (Dynamic Minimal prior knowledge for model based Computer Vision and Scene Analysis)
Advancing prior knowledge means to seek for the essence and granularity of priors. My work focussed on the derivation of geometric priors from statistical information in the context of human motion understanding.
In several papers we documented on a human shape database, human motion database and a human shape/motion database. We explored factorization methods to integrate priors and investigated physical models.