Backward compatible HDR stereo matching: a hybrid tone-mapping-based framework
VerfasserAkhavan, Tara ; Kaufmann, Hannes In der Gemeinsamen Normdatei der DNB nachschlagen
Erschienen in
EURASIP Journal on Image and Video Processing, 2015, Jg. 36, S. 1-12
Published version
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)Tone mapping / Stereo matching / Disparity map / Low dynamic range / High dynamic range / Markov random field / Graph cut
URNurn:nbn:at:at-ubtuw:3-1489 Persistent Identifier (URN)
 Das Werk ist frei verfügbar
Backward compatible HDR stereo matching: a hybrid tone-mapping-based framework [1.66 mb]
Zusammenfassung (Englisch)

Stereo matching under complex circumstances, such as low-textured areas and high dynamic range (HDR) scenes, is an ill-posed problem. In this paper, we introduce a stereo matching approach for real-world HDR scenes which is backward compatible to conventional stereo matchers. For this purpose, (1) we compare and evaluate the tone-mapped disparity maps to find the most suitable tone-mapping approach for the stereo matching purpose. Thereof, (2) we introduce a combining graph-cut based framework for effectively fusing the tone-mapped disparity maps obtained from different tone-mapped input image pairs. And finally, (3) we generate reference ground truth disparity maps for our evaluation using the original HDR images and a customized stereo matching method for HDR inputs. Our experiments show that, combining the most effective features of tone-mapped disparity maps, an improved version of the disparity is achieved. Not only our results reduce the low dynamic range (LDR), conventional disparity errors by the factor of 3, but also outperform the other well-known tone-mapped disparities by providing the closest results to the original HDR disparity maps.