Literature DB >> 16382607

Geometry-driven photorealistic facial expression synthesis.

Qingshan Zhang1, Zicheng Liu, Baining Guo, Demetri Terzopoulos, Heung-Yeung Shum.   

Abstract

Expression mapping (also called performance driven animation) has been a popular method for generating facial animations. A shortcoming of this method is that it does not generate expression details such as the wrinkles due to skin deformations. In this paper, we provide a solution to this problem. We have developed a geometry-driven facial expression synthesis system. Given feature point positions (the geometry) of a facial expression, our system automatically synthesizes a corresponding expression image that includes photorealistic and natural looking expression details. Due to the difficulty of point tracking, the number of feature points required by the synthesis system is, in general, more than what is directly available from a performance sequence. We have developed a technique to infer the missing feature point motions from the tracked subset by using an example-based approach. Another application of our system is expression editing where the user drags feature points while the system interactively generates facial expressions with skin deformation details.

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Year:  2006        PMID: 16382607     DOI: 10.1109/TVCG.2006.9

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Mapping and manipulating facial expression.

Authors:  Barry-John Theobald; Iain Matthews; Michael Mangini; Jeffrey R Spies; Timothy R Brick; Jeffrey F Cohn; Steven M Boker
Journal:  Lang Speech       Date:  2009       Impact factor: 1.500

2.  A novel two-stage illumination estimation framework for expression recognition.

Authors:  Zheng Zhang; Guozhi Song; Jigang Wu
Journal:  ScientificWorldJournal       Date:  2014-04-13
  2 in total

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