Virtual face rendering based on gradient features in VLBR networks

The paper provides a novel algorithm for face rendering applications. Ensuring algorithms of low complexity to render virtual humans in VLBR networks is at the heart of our new facial rendering system. The system differs from others such as parametric animation models and interpolation solutions. The novelties include a dual segment growing algorithm and a heat diffusion rendering method. The extracting process takes into account information both in gradient domain and topographic feature. And segments are used to carry this information, which greatly reduces the transmitted packet size. Face rendering is based on this segment and is carried out like a heat diffusive process. Experimental results, as reported in following, prove that this proposed system. Furthermore this scheme can be extended to deal with more general video or image analysis and synthesis systems.