Face Recognition with Learning-based Descriptor

1. Face Recognition with Learning-based Descriptor CVPR 2010

2. Outline • Introduction • Learning-based descriptor • Pose-adaptive matching • Experimental results

3. Introduction • Face representation • Manually designed encoding methods

4. Introduction • Learning-based encoding method • Pose-adaptive matching method

5. Introduction

6. Learning-based descriptor • Sampling and normalization • Learning-based encoding • PCA dimension reduction • Multiple LE descriptors

7. Sampling

8. Learning-based descriptor • Three unsupervised learning methods • K-means • PCA • Random-Projection tree

9. Learning-based descriptor

10. Learning-based descriptor

11. PCA dimension reduction

12. Multiple LE descriptors

13. Multiple LE descriptors

14. Pose-adaptive matching • Three images are selected from the Multi-PIE dataset • One image for each pose • Face pair {FF, LL, RR, LR (RL), LF(FL), RF (FR)} • A set of SVM

15. Experimental results • LFW benchmark • Results on Multi-PIE Dataset • 6000 images

16. LFW benchmark

17. Multi-PIE Dataset