Arjomand, Siavash; Budweiser, Gregor; Zwicker, Matthias (2015). Temporally Coherent Disparity Maps Using CRFs with Fast 4D Filtering (Unpublished). In: Asian Conference on Pattern Recognition (ACPR). Kuala Lumpur. 03-06.11.2015. 10.1109/ACPR.2015.7486514
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State 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.
|Item Type:||Conference or Workshop Item (Paper)|
|Division/Institute:||08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG)
08 Faculty of Science > Institute of Computer Science (INF)
|UniBE Contributor:||Arjomand, Siavash and Zwicker, Matthias|
|Subjects:||000 Computer science, knowledge & systems
500 Science > 510 Mathematics
|Date Deposited:||08 Jun 2016 13:11|
|Last Modified:||18 Aug 2016 13:56|