By Zhen Wen
3D Face Processing: Modeling, research and Synthesis introduces the frontiers of 3D face processing innovations. It experiences latest 3D face processing suggestions, together with thoughts for 3D face geometry modeling; 3D face movement modeling; and 3D face movement monitoring and animation. Then it discusses a unified framework for face modeling, research and synthesis. during this framework, the authors current new tools for modeling complicated traditional facial movement, in addition to face visual appeal diversifications as a result of illumination and sophisticated movement. Then the authors practice the framework to stand monitoring, expression attractiveness and face avatar for HCI interface. They finish this e-book with reviews on destiny paintings within the 3D face processing framework. 3D Face Processing: Modeling, research and Synthesis will curiosity these operating in face processing for clever human computing device interplay and video surveillance. It includes a accomplished survey on present face processing options, which could function a reference for college students and researchers. It additionally covers in-depth dialogue on face movement research and synthesis algorithms, in an effort to profit extra complex graduate scholars and researchers.
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Additional info for 3D Face Processing: Modeling, Analysis and Synthesis (The International Series in Video Computing)
The training data need to be carefully labelled so that the correspondences between the landmarks across training samples are physically correctly established. In order to handle various lighting conditions, the texture part of the training data should cover broad enough lighting conditions. , 2001, Reveret and Essa, 2001], which can capture the real motion characteristics of facial features better than manually defined models. , 1998, Reveret and Essa, 2001] only deal with lips. The trained 3D model is able to encode the information of real lip deformations.
1. Previous Work Since the pioneering work of Parke [Parke, 1972] in the early 70’s, many techniques have been investigated to model facial deformation for 3D face tracking and animation. A good survey can be found in [Parke and Waters, 1996]. The key issues include (1) how to model the spatial and temporal facial surface deformation, and (2) how to apply these models for facial deformation analysis and synthesis. In this section, we introduce previous research on facial deformation modeling. 1 Facial deformation modeling In the past several decades, many models have been proposed to deform 3D facial surface spatially.
But it is fast and robust, especially when the number of states is small or the assumed HMM topology fits the data poorly. Ezzat et al. , 2002] propose an trajectory synthesis approach similar in spirit to ours. But our formulation is easier in a sense that it can viewed as a natural extension of traditional key-framebased spline interpolation scheme, given the probability distribution of each key frame. 1 shows a synthetic example comparing conventional NURBS and our statistically weighted NURBS.
3D Face Processing: Modeling, Analysis and Synthesis (The International Series in Video Computing) by Zhen Wen