System Flowchart for cloning human facial feature by example |
Facial component detection
Skin color detection
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.
PROJECT MATERIAL: (picture gallery, video, software demo, talk slides, etc.)
 Style Transfer for Headshot Portraits，2014，Data，URL https://people.csail.mit.edu/yichangshih/portrait_web/
 drug addicts, URL http://www.bitrebels.com/lifestyle/shocking-the-effects-of-drug-addiction-on-the-face/