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IEEE Transactions on Pattern Analysis and Machine Intelligence
Radon Transform Orientation Estimation for Rotation Invariant Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Rotation-invariant texture classification using a complete space-frequency model
IEEE Transactions on Image Processing
Wavelet-based rotational invariant roughness features for texture classification and segmentation
IEEE Transactions on Image Processing
Entropy-based localization of textured regions
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Finding suits in images of people
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
User requirements for camera-based mobile applications on touch screen devices for blind people
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
InSight: recognizing humans without face recognition
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
CHIC: a combination-based recommendation system
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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Matching clothes is a challenging task for blind people. In this paper, we propose a new computer vision-based technology of clothes matching to help blind or color blind people by using a pair of images from two different clothes captured by a camera. A mini-laptop or a PDA can be used to perform the texture and color matching process. The proposed method can handle clothes in uniform color without any texture, as well as clothes with multiple colors and complex textures patterns. Furthermore, our method is robust to variations of illumination, clothes rotation, and clothes wrinkles. The proposed method is evaluated on a challenging database of clothes. The matching results are displayed as audio outputs (sound or speech) to the users for "match (for both color and texture)", "color match, texture not match", "texture match, color not match", or "not match (for both color and texture)".