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

Abstract 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. Keywords Electoral College

• Type: Journal
• Year: 2010
• Where: AIR
• Authors: Liang Chen, Naoyuki Tokuda
• Keywords: AIR 2010, Electoral College, Face Identification, Face Identification Process