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Face Recognition with Learning-based Descriptor

Face Recognition with Learning-based Descriptor. CVPR 2010. Outline. Introduction Learning-based descriptor Pose-adaptive matching Experimental results. Introduction. Face representation Manually designed encoding methods. Introduction. Learning-based encoding method

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Face Recognition with Learning-based Descriptor

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  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

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