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Titlebook: Computer Vision - ACCV 2010; 10th Asian Conferenc Ron Kimmel,Reinhard Klette,Akihiro Sugimoto Conference proceedings 2011 Springer Berlin H

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Object Class Segmentation Using Reliable Regions, reduction in the number of hypothesis to test, region shape itself can be a useful feature, etc. Since segmentation is brittle, a popular remedy is to integrate results over multiple segmentations of the scene. In previous work, usually all the regions in multiple segmentations are used. However,
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Specular Surface Recovery from Reflections of a Planar Pattern Undergoing an Unknown Pure Translatior pattern. Previous works have demonstrated that a specular surface can be recovered from the reflections of two calibrated planar patterns. In this paper, however, only one reference planar pattern is assumed to have been calibrated against a fixed camera observing the specular surface. Instead of
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Medical Image Segmentation Based on Novel Local Order Energy difficulties, problem caused by the image intensity inhomogeneity is the key aspect. In this work, we develop a novel local-homogeneous region-based level set segmentation method to tackle this problem. First, we propose a novel ., which interprets the local intensity constraint. And then, we integ
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Human Pose Estimation Using Exemplars and Part Based Refinement an initialization stage and an iterative searching stage. In the initialization stage, example based method is used to find several initial poses which are used as searching seeds of the next stage. In the iterative searching stage, a larger number of body parts candidates are generated by adding r
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Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Fieldimation of a low-resolution depth map with a plenoptic camera differs substantially from that of a camera array and, in particular, requires appropriate depth-varying antialiasing filtering. In this paper we show a quite striking result: One can instead recover a depth map at the same full-resolutio
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Indoor Scene Classification Using Combined 3D and Gist Featuresof-the-art techniques like Torralba’s Gist features show a good performance on categorizing outdoor scenes but have problems in categorizing indoor scenes. In contrast to object based approaches, we propose a 3D feature vector capturing general properties of the spatial layout of indoor scenes like
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