Intensity-depth face alignment using cascade shape regression

Abstract

With quick development of Kinect, depth image has become an important channel for assisting the color/infrared image in diverse computer vision tasks. Kinect can provide depth image as well as color and infrared images, which are suitable formulti-model vision tasks. This paper presents a framework for intensity-depth face alignment based on cascade shape regression. Information from intensity and depth images is combined during feature selection in cascade shape regression. Experimental results show that this combination improves face alignment accuracy notably.