TY - GEN
T1 - Parsing clothing in fashion photographs
AU - Yamaguchi, Kota
AU - Kiapour, M. Hadi
AU - Ortiz, Luis E.
AU - Berg, Tamara L.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84866697430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866697430&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2012.6248101
DO - 10.1109/CVPR.2012.6248101
M3 - Conference contribution
AN - SCOPUS:84866697430
SN - 9781467312264
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 3570
EP - 3577
BT - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
T2 - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
Y2 - 16 June 2012 through 21 June 2012
ER -