Generic versus Salient Region-Based Partitioning for Local Appearance Face Recognition

In this paper, we investigate different partitioning schemes for local appearance-based face recognition. Five different salient regionbased partitioning approaches are analyzed and they are compared to a generic partitioning scheme. Extensive experiments have been conducted on the AR, CMU PIE, FRGC, Yale B, and Extend Yale B face databases. The experimental results show that generic partitioning provides better performance than salient region-based partitioning schemes.

• Type: Conference
• Year: 2009
• Where: ICB
• Authors: Hazim Kemal Ekenel, Rainer Stiefelhagen
• Keywords: Generic Partitioning, ICB 2009, Partitioning Schemes, Salient Regionbased Partitioning