Orthogonal-blendshape-based editing system for facial motion capture data.
The authors present a novel data-driven 3D facial motion capture data editing system using automated construction of an orthogonal blendshape face model and constrained weight propagation, aiming to bridge the popular facial motion capture technique and blendshape approach. In this work, a 3D facial-motion-capture-editing problem is transformed to a blendshape-animation-editing problem. Given a collected facial motion capture data set, we construct a truncated PCA space spanned by the greatest retained eigenvectors and a corresponding blendshape face model for each anatomical region of the human face. As such, modifying blendshape weights (PCA coefficients) is equivalent to editing their corresponding motion capture sequence. In addition, a constrained weight propagation technique allows animators to balance automation and flexible controls.
Li
Qing
Q
Department of Computer Science, University of Houston, Houston, TX, USA. qingli12@cs.uh.edu
Deng
Zhigang
Z
D003196:Computer Graphics; D003198:Computer Simulation; D005145:Face / Q000033:anatomy & histology* / Q000502:physiology*; D005149:Facial Expression; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D008954:Models, Biological; D012984:Software; D014584:User-Computer Interface