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.
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Kim, D., Kwon, YB., Park, J. (2013). A Scoring Model for Clothes Matching Using Color Harmony and Texture Analysis. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_21
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DOI: https://doi.org/10.1007/978-3-642-36824-0_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36823-3
Online ISBN: 978-3-642-36824-0
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