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Evaluation and Selection of Models for Motion Segmentation

2020-03-23 | |  106 |   116 |   0

Abstract

We first present an improvement of the subspace separa- tion for motion segmentation by newly introducing the affine space con- straint . We point out that this improvement does not always fare well due to the efiective noise it introduces. In order to judge which solution to adopt if difierent segmentations are obtained, we test two measures using real images: the standard F test, and the geometric model selection criteria.

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