Face Recognition Based on Geodesic Preserving Projection Algorithm with 3D Morphable Model
A navel nonlinear face recognition method named GPPface is proposed in this paper. GPPface is based on nonlinear dimensionality reduction algorithm, Geodesic Preserving Projection (GPP). As face images are regarded to be embedded in a nonlinear space, GPP is presented to nonlinearty map high-dimensional face images to low-dimensional feature space. GPP overcomes the weaknesses of traditional linear and nonlinear dimensionality reduction algorithms, well preserves the intrinsic structure of the manifold and can fast and efficiently map new sample point to feature space. To recover space structure of face images and tackle small sample size problem, 3D morphable model is developedto derive multiple images of a person from a single image. Experimental results on ORL and PIE face databases show that our method makes impressive performance improvement compared with conventional face recognition methods.
Face recognition GPPface nonlinear dimensionality reduction morphable model.
Xiaoming Bai Baocai Yin Qin Shi Yanfeng Sun
Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology , Beijing 100022
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
850-855
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）