TY - GEN
T1 - Ground truth evaluation for event-based silicon retina stereo data
AU - Kogler, Jürgen
AU - Eibensteiner, Florian
AU - Humenberger, Martin
AU - Scharinger, Josef
AU - Gelautz, Margit
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - In this paper we present a new approach for the evaluation of event-based Silicon Retina stereo matching results. The evaluation of stereo matching algorithm results is a necessary task for the development, comparison, and improvement of depth generating camera systems. In contrast to conventional frame-based cameras, the silicon retina sensors delivers asynchronous events instead of synchronous intensity or color images. The polarity of the events represents either an increase (on-event) or a decrease (off-event) of the brightness of the projected scene point. This is the reason why existing ground truth data and evaluation platforms are not suitable for testing silicon retina stereo camera systems. For the analysis of the introduced novel evaluation method, we use an area-based (sum of absolute difference) algorithm for the event-driven sensor system. A conventional video camera stereo vision system is used to produce reference data. The results show that the presented method offers new opportunities for the evaluation of stereo matching results computed from silicon retina stereo data.
AB - In this paper we present a new approach for the evaluation of event-based Silicon Retina stereo matching results. The evaluation of stereo matching algorithm results is a necessary task for the development, comparison, and improvement of depth generating camera systems. In contrast to conventional frame-based cameras, the silicon retina sensors delivers asynchronous events instead of synchronous intensity or color images. The polarity of the events represents either an increase (on-event) or a decrease (off-event) of the brightness of the projected scene point. This is the reason why existing ground truth data and evaluation platforms are not suitable for testing silicon retina stereo camera systems. For the analysis of the introduced novel evaluation method, we use an area-based (sum of absolute difference) algorithm for the event-driven sensor system. A conventional video camera stereo vision system is used to produce reference data. The results show that the presented method offers new opportunities for the evaluation of stereo matching results computed from silicon retina stereo data.
KW - 3D Sensor
KW - Ground Truth
KW - Homography
KW - Silicon Retina
KW - Stereo Vision
UR - http://www.scopus.com/inward/record.url?scp=84884949331&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2013.98
DO - 10.1109/CVPRW.2013.98
M3 - Conference contribution
SN - 9780769549903
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 649
EP - 656
BT - Proceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
T2 - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Y2 - 23 June 2013 through 28 June 2013
ER -