06066499

a

06066499 Yang, Wei Toyoura, Masahiro Mao, Xiaoyang Hairstyle suggestion using statistical learning. Schoeffmann, Klaus (ed.) et al., Advances in multimedia modeling. 18th international conference, MMM 2012, Klagenfurt, Austria, January 4--6, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-27354-4/pbk). Lecture Notes in Computer Science 7131, 277-287 (2012). 2012 Berlin: Springer EN hairstyle retrieval example-based statistical learning non-parametric sampling hairstyle image synthesis

doi:10.1007/978-3-642-27355-1_27

Summary: Hairstyle is one of the most important features people use to characterize one's appearance. Whether a hairstyle is suitable or not is said to be closely related to one's facial shape. This paper proposes a new technique for automatically retrieving a suitable hairstyle from a collection of hairstyle examples through learning the relationship between facial shapes and suitable hairstyles. A method of hair-face image composition utilizing modern matting technique was also developed to synthesize realistic hairstyle images. The effectiveness of the proposed technique was validated through evaluation experiments.