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Titlebook: Computer Analysis of Images and Patterns; 12th International C Walter G. Kropatsch,Martin Kampel,Allan Hanbury Conference proceedings 2007

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Human Perception of 3D Shapesy of 3D shape perception is then outlined. According to this theory, human perception of shapes critically depends on . shape constraints: symmetry and compactness. The role of depth cues is secondary, at best.
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Mixture Models Based Background Subtraction for Video Surveillance ApplicationsThis paper proposes a novel background subtraction technique based on the popular Mixture of Gaussian Models technique. Moreover edge-based image segmentation is used to improve the results of the proposed technique. Experimental analysis shows that our system outperforms the standard system both in processing speed and detection accuracy.
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Classification of Optical Flow by Constraintsy the condition for the scheduling of the regularisation parameters. This condition shows that for the accurate and stable computation with scheduling the regularisation coefficients, we are required to control the sampling interval for numerical computation.
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Foreground and Shadow Detection Based on Conditional Random Field framework based on the conditional random field, where the interaction strength can be adaptively adjusted in terms of data similarity of neighboring sites. Experimental results show that the proposed approach effectively fuses contextual dependencies in video sequences and significantly improves the accuracy of object detection.
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Rectified Reconstruction from Stereo Pairs and Robot MappingA new approach is proposed to avoid the perspective effect, based on a geometrical rectification using the vanishing point of the image. It also uses sub-pixel precision to solve the lack of information for distant objects. Finally, the method is applied to map a whole scene, introducing a cubic filter.
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Human Perception of 3D Shapesbility of generating adequate explanations of human vision. The criterion for plausibility is provided by existing psychophysical results. A new theory of 3D shape perception is then outlined. According to this theory, human perception of shapes critically depends on . shape constraints: symmetry an
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