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Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio

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https://doi.org/10.1007/978-1-349-10596-0then compute the corresponding weights on these homographies to reconstruct the blur kernel. Since the size of the active set is quite small, the deblurring algorithm will become much faster. Experiment results show that the proposed algorithm can effectively and efficiently remove the non-uniform blur caused by camera shake.
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Layered Scene Reconstruction from Multiple Light Field Camera Views we perform a layer analysis of the light field obtained by finding superimposed oriented patterns in epipolar plane image space to obtain a set of depth hypotheses and confidence scores, which are integrated into a single functional.
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Ultra-Shallow DoF Imaging Using Faced Paraboloidal Mirrorsrticular depth by solving a linear system involving position-dependent point spread functions. In experiments, we demonstrate the effectiveness of the proposed method using both simulation and an actually developed prototype imaging system.
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A Fast Blind Spatially-Varying Motion Deblurring Algorithm with Camera Poses Estimationthen compute the corresponding weights on these homographies to reconstruct the blur kernel. Since the size of the active set is quite small, the deblurring algorithm will become much faster. Experiment results show that the proposed algorithm can effectively and efficiently remove the non-uniform blur caused by camera shake.
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ConvNet-Based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images planar regions and perform the reconstruction of each layer by using an explicit form of the plenoptic camera point spread function. The proposed framework also recovers the sharp scene texture with different motion blurs applied to each layer. We demonstrate our method on challenging real and synthetic images.
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0302-9743 e 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016..The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions. The papers are organized in topical sections on Segmentation and Classification; Segmen
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