A unified framework for improving the accuracy of all holistic face identification algorithms

作者：Chen Liang^*; Tokuda Naoyuki

来源：Artificial Intelligence Review, 2010, 33(1-2): 107-122.

DOI：10.1007/s10462-009-9139-0

• Electoral College
• Face identification
• Face recognition
• Holistic algorithms
• Stability

Reconstructing the challenging human face identification process as a stability problem, we show that Electoral College can be used as a framework that provides a significantly enhanced face identification process by improving the accuracy of all holistic algorithms. The results are demonstrated by extensive experiments on benchmark face databases applying the Electoral College framework embedded with standard baseline and newly developed face identification algorithms.

• 出版日期2010-2