title: [Synthesis of realistic human faces from CT image and color photos].
abstract: In order to predict the post-plastic-surgical effect of patients, we propose a method for synthesizing a high-definition realistic human face from three 2D digital color photos and 3D face model constructed from CT data. The simple genetic algorithm is used to estimate the projective parameters from 3D face model to 2D photos via the correspondence between manually selected 2D and 3D points. Finally, a high-definition realistic human face with detailed texture and smooth transition from front to side is synthesized utilizing the multi-texture mapping mechanism.
authors.affiliation: Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Chen
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
mesh_terms: D005145:Face / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D010781:Photography / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*