title: MRT letter: a total variation based method for 3D shape recovery of microscopic objects through image focus.
abstract: Generally, shape from focus methods use a single focus measure to compute focus quality and to obtain an initial depth map of an object. However, different focus measures perform differently in diverse conditions. Therefore, it is hard to get accurate 3D shape based on a single focus measure. In this article, we propose a total variation based method for recovering 3D shape of an object by combining multiple depth hypothesis obtained through different focus measures. Improved performance of the proposed method is evaluated by conducting several experiments using images of synthetic and real microscopic objects. Comparative analysis demonstrates the effectiveness of the proposed approach.
authors.affiliation: School of Computer Science and Engineering, Korea University of Technology and Education, 1600 chungjeolno, Byeogchunmyun, 330-708, Cheonan, Chungnam, Korea.
authors.forename: Muhammad Tariq
authors.initials: MT
authors.lastname: Mahmood
keywords: 3D shape recovery; SFF; TV; depth map; focus measure