A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Montage: An Image Database for the Fashion, Textile, and Clothing Industry in Hong Kong
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Pruning Local Feature Correspondences Using Shape Context
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Robustness of Shape Descriptors to Incomplete Contour Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Composite Templates for Cloth Modeling and Sketching
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Finding object categories in cluttered images using minimal shape prototypes
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Shape context and chamfer matching in cluttered scenes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Multi-scale phase-based local features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Context-aided human recognition – clustering
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Multimodal re-ranking of product image search results
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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In recent years, the theoretical models of mass consumer behavior have change to buy from websites rather than in stores. Because the high-growing of e-commerce, a new demand emerges: the special-purpose search engine for searching goods from network shop. How to meet the customer's requirement in product search is an import problem. Although it is easy for human eyes to determine the existence of clothes styles, recognizing it automatically from a computer program is not a trivial problem. Our work focuses on the garment retrieval from the e-shopping database, which supports feature-based retrieval by shape categories and styles. Traditionally the rigid shape-based algorithms unable to apply well on garment images. Because the clothing is essentially a non-rigid soft object: it is apt to self-occlusion, folding, and has deformation among every part (such as sleeve and tube). While producing deformation, it also influenced by light which lead to various kinds of shade at clothes, and the surface might include various kinds of pattern, texture, little piece, and decorate, these will all cause the great interference on image analysis.