A scoring model for clothes matching using color harmony and texture analysis

Authors:
Donghyun Kim;Young-Bin Kwon;Jaehwa Park
Affiliations:
Dept. of Computer Science and Engineering, Chung-Ang University, Seoul, Korea;Dept. of Computer Science and Engineering, Chung-Ang University, Seoul, Korea;Dept. of Computer Science and Engineering, Chung-Ang University, Seoul, Korea
Venue:
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Year:
2011

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Abstract

A contents based scoring model for clothes matching is represented. The major color sets for upper and lower clothes are extracted using color grouping and clustering after discarding background. The all possible combinations between two color sets are considered to measure the overall color harmony. The regions in which printed patterns on the clothes are detected and the pattern types are classified. The pattern matching score is also calculated using statistical characteristics of dispersity and directional uniformity of edge lines. The final score of clothes matching are obtained via linear weighted sum of the scores of color harmony and pattern matching. In the experimental, the scores generated by the proposed model are compared with the scores offered by human observers for real clothes images collected from internet shopping malls.