| Summary: | 碩士 === 國立中正大學 === 資訊工程研究所 === 105 === Human face contains a wealth of information, including individual's identity, age, health condition, and emotion. During the last few decades with the vigorous development of computer vision and machine learning techniques, facial feature simulation, face detection and face recognition have been widely applied in real world.
In this thesis, we propose a system on cloning human facial feature based on example images. Our goal is to clone the facial feature of an example image to source image without changing the identity of source image, making source and example image have the same visual effect. In our system, Users first provide the source and example image, and then we use Active Shape Model to find the face contour and facial component shape and exclude them from example, keeping only the facial skin area. Afterward, we adopt skin color detection to remove non-skin color area from facial skin area, and retain only facial skin texture area. Finally, we apply seamless cloning to blend the facial feature of example image to source image, making two images have the same facial feature and achieve the similar visual effect. In addition to the aforementioned techniques, we also propose an automatic selection of a good example to solve the problem if skin color between the source image and example image differ greatly, making the result image achieve better visual effects.
Our system can be applied to different domain via choosing the different example image, and can easily clone the facial feature of example image to source image, making the source image own the facial feature of example image and achieve the similar visual effects.
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