NDLI: Human Head-Shoulder Illumination Transfer

Content Provider	IEEE Xplore Digital Library
Author	Zhihong Fang Hongyu Wu Changjian Chi Xiaowu Chen
Copyright Year	2014
Description	Author affiliation: State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China (Zhihong Fang; Hongyu Wu; Changjian Chi; Xiaowu Chen)
Abstract	Face illumination transfer is an attracting area, however, current methods ignore the illumination state in hair and shoulder regions. This paper proposes a system for human head-shoulder image illumination transfer, and our method proves better results in the hair and shoulder regions. The system consists of three stages: segmentation, transfer and composition. In the segmentation stage, we segment the input image into face, hair, and shoulder. From a head-shoulder images dataset, the system selects best match regions for input image according to their illumination, geometry and reflectance attributes. In the transfer stage, we adopt inhomogeneous illumination transfer strategies for each of the three regions. Finally, all three regions are composited together. Experimental results demonstrate that the inhomogeneous transfer strategy of our system performs better in preserving the input head-shoulder image's identification structure, reflectance attributes and texture detail, and retains the illumination of the original reference better than the homogeneous transfer strategy.
Starting Page	122
Ending Page	129
File Size	1655015
Page Count	8
File Format	PDF
e-ISBN	9781479968541
DOI	10.1109/ICVRV.2014.54
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hair Geometry Image color analysis Image edge detection Lighting Market research Edge-preserving filter Illumination transfer Head-Shoulder Face
Content Type	Text
Resource Type	Article

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