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

Panacea

Language Development and Assessmentto, which is able to enhance the quality of synthesized photo effectively. Finally, the synthesized photo is recognized by two-dimensional marginal fisher analysis. We demonstrate these ideas in practice and show how they lead to faster operation speed and ideal recognition rate.

围裙

Non-negative Compatible Kernel Construction for Face Recognitionly the NC-Kernel to the Kernel Principle Component Analysis (KPCA) and KNMF for face recognition. The ORL and Pain Expression face databases are selected for evaluations. Experimental results indicate our NC-Kernel based methods outperform some RBF or polynomial kernel based algorithms.

ADOPT

Rotator-Cuff

Towards Practical Face Recognition: A Local Binary Pattern Non Frontal Faces Filtering Approachator. 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.

苦涩

Metric Learning Based False Positives Filtering for Face Detectionearning, we adopt a batch-stochastic gradient descent scheme, with which we can get stable solution fast. The results on FDDB and our self-collected dataset show a good performance of our method for improving Viola-Jones face detectors.