Virtual View Generation from a Frontal Face Image Using Invertible Meshwarp Algorithm(<Special Section>Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC 2003))

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概要

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• Algorithm, which is developed based on Two-pass Meshwarp Algorithm. Firstly, in the system, for any given person, we take a frontal face image to compose a frontal mesh for it. The standard mesh set of a specific person is created for several face sides; front, half left, half right, left and right side. The other meshes are then automatically generated based on the standard mesh set and the frontal mesh. Continually, we use Invertible Meshwarp Algorithm, which improvably solves the overlap or inversion of neighbor vertices of those created meshes. This step will finalize the generation of different views or the virtual looks of the frontal face image. We then evaluate our transformation system performance by comparing the normalized distance between several feature points in the real and transformed face images. The system is built based on C/C++ language and our result shows that the average error in the feature location is about 7% of the distance from the center of both eyes to the center of a mouth between the actual and transformed face images.

• 社団法人電子情報通信学会の論文
• 2004-06-01

著者

• Phan The

  Kongju National University

• Jun Byung

  Kongju National University

関連論文

• Virtual View Generation from a Frontal Face Image Using Invertible Meshwarp Algorithm(Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC 2003))

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