| Summary: | 碩士 === 元智大學 === 資訊工程學系 === 95 === In this thesis, a method of human face deformation using image processing techniques is presented. First, two images are taken: the first is taken as the deformed image, and the second is taken as the reference image. According to the defined FDP (Facial Definition Parameter) to represent and animate the synthetic human faces in MPEG4, we first find out feature points from different regions, and next calculate the centers of mass and offsets to find new feature points. Finally, we use the property of Delaunay Triangulation to complete the deformation. In the thesis, the face size of the reference image is assumed to be larger than that of the deformed one.
The proposed method is different from the past studies of the human face deformation. Our method is to deform the human face based on the reference image. After processing 2D transformation and Delaunay Triangulation for feature points, we make adjustments to the targeted facial features. The experimental result of the proposed method shows more effective than using composite map.
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