10.6

Face Recognition from Still Images and Videos

Shaohua Kevin Zhou,     Siemens Corporate Research, Princeton

Rama Chellappa,     University of Maryland

1 Introduction

1.1 Biometric Perspective

1.2 Experimental Perspective

1.3 Theoretical Perspective

1.4 A Unified Approach

2 Framework of Probabilistic Identity Characterization

2.1 Recognition Setting and Issues

3 Instances of Probabilistic Identity Characterization

3.1 Face Recognition from a Group of Still Images

3.2 Face Recognition from a Video Sequence

4 Conclusions

Acknowledgment

References

1 Introduction

In most situations, identifying humans using faces is an effortless task for humans. Is this true for computers? This very question defines the field of automatic face ...

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