Which stereo matching algorithm for accurate 3D face creation?

被引：0

作者：

Leclercq, Ph. ^{[1
]}

Liu, J. ^{[1
]}

Woodward, A. ^{[1
]}

Delmas, P. ^{[1
]}

机构：

[1] CITR, Department of Computer Science, University of Auckland

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2004年 / 3322卷

关键词：

Application programming interfaces (API) - Graphic methods - Stereo image processing;

D O I：

10.1007/978-3-540-30503-3_53

中图分类号：

学科分类号：

摘要：

This paper compares the efficiency of several stereo matching algorithms in reconstructing 3D faces from both real and synthetic stereo pairs. The stereo image acquisition system setup and the creation of a face disparity map benchmark image are detailed. Ground truth is build by visual matching of corresponding nodes of a dense colour grid projected onto the faces. This experiment was also performed on a human face model created using OpenGL with mapped texture to create as perfect as possible a set for evaluation, instead of real human faces like our previous experiments. Performance of the algorithms is measured by deviations of the reconstructed surfaces from a ground truth prototype. This experiment shows that contrary to expectations, there is seemingly very little difference between the currently most known stereo algorithms in the case of the human face reconstruction. It is shown that by combining the most efficient but slow graph-cut algorithm with fast dynamic programming, more accurate reconstruction results can be obtained. © Springer-Verlag 2004.

引用

页码：690 / 704

页数：14

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