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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; Second International Edwin R. Hancock,Marcello Pelillo Conference p

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31#
發(fā)表于 2025-3-26 21:06:48 | 只看該作者
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發(fā)表于 2025-3-27 03:01:29 | 只看該作者
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發(fā)表于 2025-3-27 11:49:05 | 只看該作者
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發(fā)表于 2025-3-27 16:41:15 | 只看該作者
A New Algorithm for Energy Minimization with Discontinuitiesorithm efficiently chooses the expansion move that gives the largest decrease in the energy. We apply our method to the stereo matching problem, and obtain promisingex perimental results. Empirically, the new technique outperforms our previous algorithm [.] both in terms of runningti me and output quality.
36#
發(fā)表于 2025-3-27 18:30:56 | 只看該作者
A New Distance Measure for Non-rigid Image Matchinginterpretation of weighted graph matching. The graphs are related in a straightfoward manner to the spline kernel used for non-rigid warping. Experimentally, we show that the new distance measure outperforms the conventional quadratic assignment distance measure when both distances use the same weighted graphs derived from the spline kernel.
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發(fā)表于 2025-3-27 23:23:36 | 只看該作者
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發(fā)表于 2025-3-28 04:25:54 | 只看該作者
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發(fā)表于 2025-3-28 08:52:20 | 只看該作者
Trends in the Use of Sports Sponsoring,iously, we have introduced a technique to fuse gray-scale image and texture extracting features for segmenting an image with both textured and non-textured surfaces. This paper extends the study for more general multi-valued data and improve the previous algorithm in terms of the performance and speed.
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發(fā)表于 2025-3-28 11:20:29 | 只看該作者
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