Titlebook: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234153.jpg

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https://doi.org/10.1007/978-3-642-15561-1biometrics; computational imaging; face recognition; gesture recognition; illumination; image alignment; i

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0302-9743 apers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at le

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https://doi.org/10.1007/978-3-319-68900-5ing windows throughout the input image. As such, local textures and global smoothness of the input image can be preserved simultaneously when applying the illumination transformation. Experimental results demonstrate the effectiveness of the proposed method comparing to some previous approaches.

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https://doi.org/10.1007/978-1-4899-3558-8or evaluation of context. Experimental results indicate that this scene dependent structure construction model eliminates spurious edges and improves performance over fully-connected and neighborhood connected Markov network.

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Learning What and How of Contextual Models for Scene Labelingor evaluation of context. Experimental results indicate that this scene dependent structure construction model eliminates spurious edges and improves performance over fully-connected and neighborhood connected Markov network.