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Study, Two-dimensional Image-based 3d Face Modeling Techniques

Posted on:2009-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:X WuFull Text:PDF
GTID:2208360278970827Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In recent years, with the development of computer graphics technology, 3D human-face model designing technology is also developing rapidly and it also has become an important part of the computer graphics science. It also has a great value of application in many aspects, for example: in the virtual reality, film and television production, computer-assistant teaching, video telephony, video conferencing, medical research, entertainment, and computer game. Although 3D human-face model designing technology has got a notable progress, as the complexity of the surface of human face, the establishment of realistic 3D human Face continues to be a difficult task.Three-dimensional human-face model designing and facial animation is an attractive field of computer graphics research, this paper is aims on three-dimensional human-face model designing which based on two-dimensional images, that is: use two orthogonal front and side photo of a human face to form a 3D photo face. First extract the feature information reflects the human face feature from the front and side photos of certain human face, then use these feature information to amend general human face model and get certain human face model, and then texture mapping the certain human face model by using the texture information reflect by the front and side photo of certain human face, and ultimately get a realistic virtual 3D Face. In human face feature extraction, using an improved colorful Snake model to accurately position contour; On this basis, using Kriging Spatial Interpolation technology adjusts ordinary people face model, then use quadratic interpolation polishing technology on local region of the interpolated, by this step to make the geometric structure of the model more natural; In order to obtain the human face texture information, use stitch weight factor and wavelet method to stitch human face image, so as to gat human face panoramic texture map; then texture mapping the grid model of human face, and use Java3D for model rendering, thus gained a realistic 3D face.
Keywords/Search Tags:3D human-face model designing, feature extraction, model adjusting, texture mapping
PDF Full Text Request
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