Evaluation and Selection of Models for Motion Segmentation
Kenichi Kanatani, Naoya Ohta · Institutional Repositories DataBase (IRDB) · 2001
Abstract. We first present an improvement of the subspace separation for motion segmentation by newly introducing the affine space constraint. We point out that this improvement does not always fare well due to the effective noise it introduces. In order to judge which solution to adopt if different segmentations are obtained, we test two measures using real images: the standard F test, and the geometric model selection criteria. 1