Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2004 Papers
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Based on the newly appeared image editing and image pro- cessing techniques, a novel interactive, computer-assisted system is proposed for facial synthesis. This paper presents the architecture of this facial synthesis system and gives a detailed description of the four key modules. The techniques used in these modules are also particularized. First, graph cut algorithm is used to automatically select region. Then gradient domain fusion is used to get better result. Finally, k-means method is used to improve efficiency. The experimental results show that our experimental facial synthesis system can produce visually good synthesized face images.