Arjomand, SiavashSiavashArjomandBudweiser, GregorGregorBudweiserZwicker, MatthiasMatthiasZwicker0000-0001-8630-55152024-10-242024-10-242015https://boris-portal.unibe.ch/handle/20.500.12422/141344State of the art methods for disparity estimation achieve good results for single stereo frames, but temporal coherence in stereo videos is often neglected. In this paper we present a method to compute temporally coherent disparity maps. We define an energy over whole stereo sequences and optimize their Conditional Random Field (CRF) distributions using mean-field approximation. We introduce novel terms for smoothness and consistency between the left and right views, and perform CRF optimization by fast, iterative spatio-temporal filtering with linear complexity in the total number of pixels. Our results rank among the state of the art while having significantly less flickering artifacts in stereo sequences.en000 - Computer science, knowledge & systems500 - Science::510 - Mathematicsconference_item10.7892/boris.8112610.1109/ACPR.2015.7486514