Paper Info
Title
A scoring model for clothes matching using color harmony and texture analysis
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.
Year
DOI
Venue
2011
10.1007/978-3-642-36824-0_21
GREC
Keywords
Field
DocType
color grouping,real clothes image,scoring model,major color set,color harmony,overall color harmony,color set,pattern matching,clothes matching,texture analysis,pattern type,lower clothes
Computer vision,Pattern recognition,Computer science,Clothing,Artificial intelligence,Cluster analysis,Pattern matching,Internet shopping,Harmony (color)
Conference
Citations 
PageRank 
References 
1
0.37
3
Authors
3
Name
Order
Citations
PageRank
Donghyun Kim1289.95
Young-Bin Kwon26912.38
Jaehwa Park3659.50