TY - GEN
T1 - Human Head-Shoulder Illumination Transfer
AU - Fang, Zhihong
AU - Wu, Hongyu
AU - Chi, Changjian
AU - Chen, Xiaowu
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - 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.
AB - 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.
KW - Edge-preserving filter
KW - Head-Shoulder
KW - Illumination transfer
UR - https://www.scopus.com/pages/publications/84962147230
U2 - 10.1109/ICVRV.2014.54
DO - 10.1109/ICVRV.2014.54
M3 - 会议稿件
AN - SCOPUS:84962147230
T3 - Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014
SP - 122
EP - 129
BT - Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014
A2 - Shen, Xukun
A2 - Zhang, Xiaopeng
A2 - Zhou, Zhong
A2 - Zhang, Guodong
A2 - Luo, Xun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Virtual Reality and Visualization, ICVRV 2014
Y2 - 30 August 2014 through 31 August 2014
ER -