Titlebook: Biometric Recognition; 8th Chinese Conferen Zhenan Sun,Shiguan Shan,YiLong Yin Conference proceedings 2013 Springer International Publishin

nostrum

多嘴

3D Face Recognition Based on Intrinsic Features, similarities are computed by weighed sum of different stripes matching results. Our experiments use the Gavab Database and the results are better than other 3D face recognition algorithms such as MDS method, showing effectiveness of our method.

克制

Formidable

Spina-Bifida

The Republic of the Philippines,third contribution is a method for localizing facial feature points of an unknown image in a new iterative manner, which makes the algorithm robust to initial location. Extensive experiments over images with obvious pose, expression and illumination changes have shown the accuracy and efficiency of our method.

填料

愚笨

https://doi.org/10.1007/978-1-4020-8891-9is simple. The experiments based on two face databases are performed. The results show that, the proposed method can get higher recognition rate in low-resolution and fuzzy face recognition, and can reduce the computing time; it is an effective metric method.

思想靈活

https://doi.org/10.1007/978-3-319-75263-1 face images are often strongly correlated, spatial weights are smoothed to enforce similar values at adjacent locations. Extensive experiments on benchmark face databases demonstrate that our method is very effective in dealing with face occlusion, corruption, lighting and expression changes, etc.

承認(rèn)

Obstacle