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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; 10th International C Xue-Cheng Tai,Egil Bae,Marius Lysaker Conferen

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楼主: Asphyxia
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A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ, −normsete local and nonlocal gradient of a color image can be viewed as a 3D matrix/or tensor with dimensions corresponding to the spatial extend, the differences to other pixels, and the color channels. Based on this observation we obtain a new class of NLTV methods by penalizing the ℓ. norm of this 3D t
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Discrete Green’s Functions for Harmonic and Biharmonic Inpainting with Sparse Atomstimised and sufficiently sparse. The goal of our paper is to connect these linear inpainting methods to sparsity concepts. To understand these relations, we explore the theory of Green’s functions. In contrast to most work in the mathematical literature, we derive our Green’s functions in a discrete
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Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme of the Mumford-Shah energy, we propose an efficient algorithm called the MBO scheme using threshold dynamics. Theoretical analysis is developed and a Lyapunov functional is proven to decrease as the algorithm proceeds. Furthermore, to reduce the computational cost for large datasets, we incorporate
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A Novel Active Contour Model for Texture Segmentationough. The human visual system is able to identify and segment different textures in a given image. Automating this task for a computer is far from trivial..There are three major components of any texture segmentation algorithm: (a) The features used to represent a texture, (b) the metric induced on
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Automatic Shape Constraint Selection Based Object Segmentationbased object segmentation methods which only provide loose shape constraints, our proposed object segmentation gives more accurate shape constraint by selecting the most appropriate shape among the standard shape set. Furthermore, to overcome the inevitable differences between the true borders and t
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Conference proceedings 2015cognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and varia
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