Face Recognition with Learning-based Descriptor
description
Transcript of Face Recognition with Learning-based Descriptor
Face Recognition with Learning-based Descriptor
CVPR 2010
Introduction Learning-based descriptor Pose-adaptive matching Experimental results
Outline
Face representation Manually designed encoding methods
Introduction
Introduction Learning-based encoding method
Pose-adaptive matching method
Introduction
Sampling and normalization Learning-based encoding PCA dimension reduction Multiple LE descriptors
Learning-based descriptor
Sampling
Learning-based descriptor Three unsupervised learning methods K-means PCA Random-Projection tree
Learning-based descriptor
Learning-based descriptor
PCA dimension reduction
Multiple LE descriptors
Multiple LE descriptors
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
Pose-adaptive matching
LFW benchmark
Results on Multi-PIE Dataset◦ 6000 images
Experimental results
LFW benchmark
Multi-PIE Dataset