科研项目

项目列表


Face Recognition


人脸识别


Introduction

The Local steerable phase (LSP) feature is proposed for face representation and recognition. Besides, we present a face video retrieval method which learns binary hash representations of face videos via deep convolutional neural network.

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Papers

1. Zhang X., Jia Y. Local steerable phase (LSP) feature for face representation and recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, 2: 1363-1368. [PDF]

2. Zhang X, Jia Y. A linear discriminant analysis framework based on random subspace for face recognition. Pattern Recognition, 2007, 40(9): 2585-2591. [PDF]

3. Zhang X, Jia Y. Face recognition with local steerable phase feature[J]. Pattern Recognition Letters, 2006, 27(16): 1927-1933. [PDF]

4. Dong Z, Jia S, Wu T, et al. Face Video Retrieval via Deep Learning of Binary Hash Representations. Thirtieth AAAI Conference on Artificial Intelligence. 2016. [PDF]

5. Wang, Y., Jia, Y., Hu, C., & Turk, M. (2004). Fisher non-negative matrix factorization for learning local features. In In Proc. Asian Conf. on Comp. Vision. [PDF] [Code implemented by zhangbo#bit.edu.cn]