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» Application of Level Set Methods in Computer Vision
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CVPR
2006
IEEE
16 years 9 months ago
Kernel-based Template Alignment
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...
Igor Guskov
ECCV
2004
Springer
16 years 9 months ago
Line Geometry for 3D Shape Understanding and Reconstruction
We understand and reconstruct special surfaces from 3D data with line geometry methods. Based on estimated surface normals we use approximation techniques in line space to recogniz...
Helmut Pottmann, Michael Hofer, Boris Odehnal, Joh...
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 3 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
ACIVS
2009
Springer
16 years 1 months ago
Attributed Graph Matching Using Local Descriptions
Abstract. In the pattern recognition context, objects can be represented as graphs with attributed nodes and edges involving their relations. Consequently, matching attributed grap...
Salim Jouili, Ines Mili, Salvatore Tabbone
CVPR
2010
IEEE
15 years 9 months ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri