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» Shape-Based Level Set Method for Image Segmentation
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CVPR
2010
IEEE
15 years 3 months ago
Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chu...
MVA
2000
212views Computer Vision» more  MVA 2000»
14 years 9 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...
ICPR
2008
IEEE
15 years 11 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
15 years 11 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura
ECCV
2006
Springer
15 years 11 months ago
An Integrated Model for Accurate Shape Alignment
In this paper, we propose a two-level integrated model for accurate face shape alignment. At the low level, the shape is split into a set of line segments which serve as the nodes ...
Lin Liang, Fang Wen, Xiaoou Tang, Ying-Qing Xu