Generation of temporally consistent depth maps using nosie removal from video

Abstract

This paper presents a novel approach for providing depth maps that are temporally consistent. Temporal consistency is attained by noise removal from video. Presented approach was evaluated with use of a simple noise reduction technique and state-of-the-are depth estimation algorithm. Experiments on depth-based synthesis of standard multi-view test video sequences have been performed and yielded both subjective and objective results. These results provide evidence that the proposed approach increase temporal consistency of estimated depth maps. © 2010 Springer-Verlag Berlin Heidelberg.