Multiple viewpoints based overview for face recognition

Jun Bao Li, Shu Chuan Chu, Jeng Shyang Pan, Lakhmi C. Jain

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


Face recognition has the wide research and applications on many areas. Many surveys of face recognition are implemented. Different from previous surveys on from a single viewpoint of application, method or condition, this paper has a comprehensive survey on face recognition from practical applications, sensory inputs, methods, and application conditions. In the sensory inputs, we review face recognition from image-based, video-based, 3D-based and hypersprectral image based face recognition, and a comprehensive survey of face recognition methods from the viewpoints of signal processing and machine learning are implemented, such as kernel learning, manifold learning method. Moreover we discuss the single training sample based face recognition and under the variable poses. The prominent algorithms are described and critically analyzed, and relevant issues such as data collection, the influence of the small sample size, and system evaluation are discussed.

Original languageEnglish
Pages (from-to)352-369
Number of pages18
JournalJournal of Information Hiding and Multimedia Signal Processing
Issue number4
Publication statusPublished - Oct 2012
Externally publishedYes


  • Face recognition
  • Kernel method
  • Manifold learning
  • Single training sample


Dive into the research topics of 'Multiple viewpoints based overview for face recognition'. Together they form a unique fingerprint.

Cite this