A multiple kernel fusion method combining two multiresolution histogram face descriptors is proposed to create a powerful representation method for face recognition. The multi resolution histogram descriptors are based on local binary patterns and local phase coding to achieve invariance to various types of image degradation. The multi-kernel fusion is based on the computationally efficient spectral regression KDA. The proposed face recognition method is evaluated on FRGC 2.0 database yielding very impressive results.
|Title of host publication||Structural, Syntactic, and Statistical Pattern Recognition|
|Publication status||Published - 2010|
|Name||Lecture Notes in Computer Science|