Groupwise Pose Normalization for Craniofacial Applications.

Abstract

A general framework is proposed for solving groupwise pose normalization problems and is analyzed in detail under different feature spaces. The analysis shows that using principal component analysis for pose normalization is a special case of using the proposed framework under a special feature space. The experimental results on two craniofacial datasets show the proposed method achieved promising results for solving groupwise pose normalization problems for craniofacial applications.