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A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms
Tron, R.; Vidal, R.;
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
17-22 June 2007
Page(s):1
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8
Abstract:
Over the past few years, several methods for segmenting a scene containing multiple rigidly moving objects have been proposed. However, most existing methods have been tested on a handful of sequences only, and each method has been often tested on a different set of sequences. Therefore, the comparison of different methods has been fairly limited. In this paper, we compare four 3D motion segmentation algorithms for affine cameras on a benchmark of 155 motion sequences of checkerboard, traffic, and articulated scenes.
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