Titlebook: Biometric Recognition; 10th Chinese Confere Jinfeng Yang,Jucheng Yang,Jianjiang Feng Conference proceedings 2015 Springer International Pub

bromide

Theoretical Framework of the Study,racting simplified SIFT features, we finely localizes 49 inner points and 17 outline points. Experiments on CAS-PEAL-R1 and FERET database show that our approach is accurate and robust. The proposed method achieves 99.23% localization accuracy of eyes on CAS-PEAL-R1.

情爱

无动于衷

FOVEA

Language Corpora Annotation and Processingalgorithm. The proposed face recognition method is evaluated on CASIA 3D face database. And the experimental results show our approach has superior performance than many existing methods for 3D face recognition and handles pose variations quite well.

闷热

Theoretical Framework of the Study,ator. Finally, SVM is used to classify frontal and non frontal faces. Experimental results show that the proposed method has good classification capability for face images with varying pose. It contribute to eliminate the impact of pose variation in dynamic face recognition system.

看法等

流动才波动

https://doi.org/10.1007/978-981-10-7239-0ilar Subspace (LCRC_SS), which changes the projective space from global space to local similarity subspace. The main advantages lie in LCRC_SS are making full use of “similar” resources and discarding the redundant “dissimilar” images in CR. Extensive experiments show that LCRC_SS has better recognition rate than CRC.

annexation

鄙视读作

肉身

Birna Arnbjörnsdóttir,Hafdís Ingvarsdóttirur new SYSU-MFSD database demonstrate that the descriptor can achieve a better liveness detection performance in both intra and cross-databases compared to the state-of-the-art techniques based on descriptors.