Temporally Coherent Disparity Maps Using CRFs with Fast 4D Filtering

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 Temporally Coherent Disparity Maps Using CRFs with Fast 4D Filtering (Unpublished).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
Language: English
Submitter: Matthias Zwicker
Date Deposited: 08 Jun 2016 13:11
Last Modified: 18 Aug 2016 13:56
Publisher DOI: 10.1109/ACPR.2015.7486514
Related URLs:
BORIS DOI: 10.7892/boris.81126
URI: http://boris.unibe.ch/id/eprint/81126

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