Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Generating realistic facial expressions with wrinkles for model-based coding
Computer Vision and Image Understanding
Face Recognition: From Theory to Applications
Face Recognition: From Theory to Applications
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Real-time Photo-Realistic Physically Based Rendering of Fine Scale Human Skin Structure
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Automatic facial feature extraction by genetic algorithms
IEEE Transactions on Image Processing
Adaptive, selective, automatic tonal enhancement of faces
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Subjective experiments on gender and ethnicity recognition from different face representations
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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In this paper, we developed a novel skin-color transfer algorithm in order to explore the potential information from human racial groups to improve the face identification. We attempt to find a general technique for transferring human skin colors of different races. The idea is to match the intensity values of two images and transfer the entire mood of the source image to the target image. Further enhancement can be achieved in two ways. One is facial multi-region subdivision to limit the color transfer between corresponding regions. The other is to use "region growing" method based on hue values for color transfer in sub-areas, such as lip, where H channel is dominant in determining pixel colors. The technique appears to be quite simple and results turn out to be encouraging. Our new algorithm is analyzed and compared to other existing algorithm, and evaluated through the psychological study on race related identification. The experiment shows that skin color is amongst one of the factors for race identification, but not the dominant one. This is the first preliminary step as an initial screening process towards the race-related face identification.