Learning Non-Target Items for Interesting Clothes Segmentation in Fashion Images
Abstract: In this paper we propose a color-based approach for skin detection and interest garment selection aimed at an automatic segmentation of pieces of clothing. For both purposes, the color description is extracted by an iterative energy minimization approach and an automatic initialization strategy is proposed by learning geometric constraints and shape cues. Experiments confirms the good performance of this technique both in the context of skin removal and in the context of classification of garments.
Citation:
Grana, Costantino; Calderara, Simone; Borghesani, Daniele; Cucchiara, Rita "Learning Non-Target Items for Interesting Clothes Segmentation in Fashion Images" Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba Science City, Japan, pp. 3317 -3320 , Nov 11-15, 2012
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