Clothes matching for blind and color blind people

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Abstract

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)". © 2010 Springer-Verlag Berlin Heidelberg.

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Tian, Y., & Yuan, S. (2010). Clothes matching for blind and color blind people. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6180 LNCS, pp. 324–331). https://doi.org/10.1007/978-3-642-14100-3_48

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