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Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video
Published on 2014-04-032511 Views
Motion is a fundamental segmentation cue in video. Many current approaches segment 3D motion in monocular or stereo image sequences, mostly relying on sparse interest points or being dense but compu
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Presentation
Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video00:00
Objective - 100:00
Objective - 200:18
Objective - 300:31
Approach - 100:51
Approach - 201:00
Approach - 301:04
Unary potentials and pair-wise potentials01:10
Discount labelling-pairs01:34
Back to the EM-Objective02:00
Factored Observations02:13
Variational Approximation - 102:26
Variational Approximation - 202:48
Minimizing KL-divergence03:20
Initialize mean-field iterations - 103:58
Initialize mean-field iterations - 204:08
Trade model complexity via label costs04:29
Efficient EM-Algorithm: E-Step - 105:38
Efficient EM-Algorithm: M-Step06:39
Efficient EM-Algorithm: E-Step - 206:55
Sequential EM07:12
Efficient Image Representation07:36
Experiments: Setup08:32
Experiments: Results - 109:27
Experiments: Results - 211:20
Summary11:41