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Titlebook: Advances in Multimedia Information Processing - PCM 2016; 17th Pacific-Rim Con Enqing Chen,Yihong Gong,Yun Tie Conference proceedings 2016

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樓主: DIGN
31#
發(fā)表于 2025-3-26 22:57:45 | 只看該作者
My Interviews with the Oath Takers,d probability map can be obtained based on the GMMs. Finally, we extract the optimal lip contour via a smooth operation. Experiments are performed on our dataset with 1000 face images. Experimental results demonstrate the efficacy of the proposed method compared with the state-of-art lip segmentatio
32#
發(fā)表于 2025-3-27 04:14:30 | 只看該作者
33#
發(fā)表于 2025-3-27 06:22:53 | 只看該作者
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發(fā)表于 2025-3-27 13:12:46 | 只看該作者
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發(fā)表于 2025-3-27 15:57:43 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149012.jpg
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發(fā)表于 2025-3-27 19:41:54 | 只看該作者
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發(fā)表于 2025-3-27 23:34:38 | 只看該作者
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發(fā)表于 2025-3-28 05:21:16 | 只看該作者
39#
發(fā)表于 2025-3-28 06:56:19 | 只看該作者
Conclusions and Recommendations,ge as background, color and spatial contrast with each super-pixel are being used to obtain a coarse map. Then, we put the Objectness labels as foreground prior based on part of information of the former map to construct another map. Further, an original energy function is applied to optimize both o
40#
發(fā)表于 2025-3-28 14:19:10 | 只看該作者
SpringerBriefs in Environmental Scienceo texture and shape, however most existing methods fail to consider the part location of landmarks. To solve this problem, we propose a novel end-to-end regression framework using deep convolutional neural network (CNN). Our deep architecture first encodes the image into feature maps shared by all t
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