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• 图形学与可视化 • 上一篇    下一篇

基于面部曲线弹性匹配的三维人脸识别方法

摘 要:提出一种基于面部径向曲线弹性匹配的三维人脸识别方法。使用人脸曲#br# 面上的多条曲线表征人脸曲面,提取三维人脸上从鼻尖点发射的多条面部径向曲线,对其进#br# 行分层弹性匹配和点距对应匹配,根据人脸不同部位受表情影响程度不同,对不同曲线识别#br# 相似度赋予不同权重进行加权融合作为总相似度用于识别。测试结果表明该方法具有很好的#br# 识别性能,并且对表情、遮挡和噪声具有较好的鲁棒性。#br# 关 键 词:三维人脸识别;径向曲线;分层弹性匹配;表情鲁棒性   

  • 出版日期:2015-06-30 发布日期:2015-05-05

3D Face Recognition Using Facial Curves Elastic Matching

Abstract: A 3D face recognition algorithm based on facial curves elastic matching is#br# presented in this paper. Facial surfaces are approximated with indexed sets of level curves. Firstly,#br# the radial curves emanating from the nose tip are extracted after 3D faces are preprocessed.#br# Secondly, the curves of the probe face match the curves of gallery face using the improved#br# hierarchical matching method and the two curves are matched exploiting the distance between the#br# point and nose tip. Finally, the similarities of different curves are weighted fused according to the#br# different degree influenced by expression as sum similarity which is used for matching.#br# Experiment results verify that the proposed method can obtain better recognition rate, and is#br# robust to occlusion, spikes and expression.#br# Key words: 3D face recognition; radial curves; hierarchical elastic matching; expression#br# Robustness   

  • Online:2015-06-30 Published:2015-05-05

摘要: 提出一种基于面部径向曲线弹性匹配的三维人脸识别方法。使用人脸曲
面上的多条曲线表征人脸曲面,提取三维人脸上从鼻尖点发射的多条面部径向曲线,对其进
行分层弹性匹配和点距对应匹配,根据人脸不同部位受表情影响程度不同,对不同曲线识别
相似度赋予不同权重进行加权融合作为总相似度用于识别。测试结果表明该方法具有很好的
识别性能,并且对表情、遮挡和噪声具有较好的鲁棒性。

关键词: 三维人脸识别, 径向曲线, 分层弹性匹配, 表情鲁棒性

Abstract: A 3D face recognition algorithm based on facial curves elastic matching is
presented in this paper. Facial surfaces are approximated with indexed sets of level curves. Firstly,
the radial curves emanating from the nose tip are extracted after 3D faces are preprocessed.
Secondly, the curves of the probe face match the curves of gallery face using the improved
hierarchical matching method and the two curves are matched exploiting the distance between the
point and nose tip. Finally, the similarities of different curves are weighted fused according to the
different degree influenced by expression as sum similarity which is used for matching.
Experiment results verify that the proposed method can obtain better recognition rate, and is
robust to occlusion, spikes and expression.

Key words: 3D face recognition, radial curves, hierarchical elastic matching, expression
Robustness