Evaluation of image feature descriptors for marker-less AR applications

Abstract

For employing marker-less augmented reality (AR), image-based geometric alignment is one of the fundamental functions. Image feature descriptor is widely used for this purpose. In this paper, we evaluate various image feature descriptors for vision-based marker-less AR applications. To evaluate descriptors in a case where occlusion exists, we use not only 2D image test data but also images generated by 3D computer graphic models. We conducted experiments evaluating performance of detection, matching, and tracking, and compared them.