东南大学学报（自然科学版）2016，Vol.46Issue(2)：260-264,5.DOI:10.3969/j.issn.1001-0505.2016.02.006
基于自适应人脸切割的三维人脸识别算法
3 D face recognition algorithm based on adaptive face cutting
摘要
Abstract
In order to overcome the effects of expression variation on face recognition, a three-dimen-sional (3D) face recognition algorithm based on adaptive face cutting is proposed.First, an automatic preprocessing technique is used to remove the outliers, fill the holes and normalize the pose to improve the quality of 3D facial data.Secondly, by simplifying the canonical orientation of the mesh scale in-variant feature transform ( meshSIFT) as well as jointing the shape diameter function ( SDF) descrip-tor, the direction assignment and the feature descriptor are discussed and the meshSIFT is improved. Finally, by using the dictionary calculation, compression and adaptive region cutting sparse classifica-tion, an adaptive face cutting algorithm based on the minimum residual sum associated to the multitask sparse representation classification is proposed.The experimental results on the FRGC v2.0 face data-base indicate that the proposed algorithm has a high recognition rate for 3D face recognition.关键词
三维人脸识别/自动预处理技术/改进的meshSIFT特征/自适应人脸切割/多任务稀疏Key words
three-dimensional face recognition/automatic preprocessing technology/improved mesh scale invariant feature transform( meshSIFT)/adaptive face cutting/multi-task sparse representation classification分类
信息技术与安全科学引用本文复制引用
邓星,达飞鹏,杨乔生..基于自适应人脸切割的三维人脸识别算法[J].东南大学学报（自然科学版）,2016,46(2):260-264,5.基金项目
国家自然科学基金资助项目（51175081，51475092，61405034）、教育部博士点基金资助项目（20130092110027）． （）
