Title :
Parsing clothing in fashion photographs
Author :
Yamaguchi, Kota ; Kiapour, M. Hadi ; Ortiz, Luis E. ; Berg, Tamara L.
Author_Institution :
Stony Brook Univ., Stony Brook, NY, USA
Abstract :
In this paper we demonstrate an effective method for parsing clothing in fashion photographs, an extremely challenging problem due to the large number of possible garment items, variations in configuration, garment appearance, layering, and occlusion. In addition, we provide a large novel dataset and tools for labeling garment items, to enable future research on clothing estimation. Finally, we present intriguing initial results on using clothing estimates to improve pose identification, and demonstrate a prototype application for pose-independent visual garment retrieval.
Keywords :
clothing industry; hidden feature removal; image retrieval; pose estimation; clothing estimation; fashion photographs; garment appearance; garment items; large novel dataset; occlusion; parsing clothing; pose identification; pose-independent visual garment retrieval; Clothing; Estimation; Joints; Labeling; Prototypes; Training; Visualization;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-1226-4
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2012.6248101
