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

PCA dimension reduction

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

Documents