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Proceedings Paper

Benchmark on outdoor scenes
Author(s): Hairong Zhang; Cheng Wang; Yiping Chen; Fukai Jia; Jonathan Li
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Paper Abstract

Depth super-resolution is becoming popular in computer vision, and most of test data is based on indoor data sets with ground-truth measurements such as Middlebury. However, indoor data sets mainly are acquired from structured light techniques under ideal conditions, which cannot represent the objective world with nature light. Unlike indoor scenes, the uncontrolled outdoor environment is much more complicated and is rich both in visual and depth texture. For that reason, we develop a more challenging and meaningful outdoor benchmark for depth super-resolution using the state-of-the-art active laser scanning system.

Paper Details

Date Published: 2 March 2016
PDF: 6 pages
Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010U (2 March 2016); doi: 10.1117/12.2234860
Show Author Affiliations
Hairong Zhang, Xiamen Univ. (China)
Cheng Wang, Xiamen Univ. (China)
Yiping Chen, Xiamen Univ. (China)
Fukai Jia, Xiamen Univ. (China)
Jonathan Li, Univ. of Waterloo (Canada)

Published in SPIE Proceedings Vol. 9901:
2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015)
Cheng Wang; Rongrong Ji; Chenglu Wen, Editor(s)

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