Face Shop: Interactive Modeling of 3D Faces Using Anthropometrics
This paper presents a new anthropometrics-based method for generating realistic, controllable face models. Our method establishes an intuitive and efficient interface to facilitate procedures for interactive 3D face modeling and editing. It takes 3D face scans as examples in order to exploit the variations presented in the real faces of individuals. The system automatically learns a model prior from the data sets of example meshes of facial features using principal component analysis (PCA) and uses it to regulate the naturalness of synthesized faces. For each facial feature, we compute a set of anthropometric measurements to parameterize the example meshes into a measurement space. Using PCA coefficients as a compact shape representation, we formulate the face modeling problem in a scattered data interpolation framework which takes the user-specified anthropometric parameters as input. Solving the interpolation problem in a reduced subspace allows us to generate a natural face shape that satisfies the user-specified constraints. At runtime, the new face shape can be generated at an interactive rate, We demonstrate the utility of our method by presenting several applications, including analysis of facial features of subjects in different race groups, facial feature transfer,and adapting face models to a particular population group.
face modeling anthropometry interpolation 3D scanned data
Yu Zhang Edmond C.Prakash
Institute of High Performance Computing 1 Fusionopolis Way, 16-16 Connexis Singapore 138632 Department of Computing and Mathematics Manchester Metropolitan University United Kingdom
国际会议
第四届计算机游戏开发技术研究国际会议(International Conference on Games Research and Development)
北京
英文
191-198
2008-10-01（万方平台首次上网日期，不代表论文的发表时间）