A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms

Ole Johannsen; Katrin Honauer; Bastian Goldluecke; Anna Alperovich; Federica Battisti; Yunsu Bok; Michele Brizzi; Marco Carli; Gyeongmin Choe; Maximilian Diebold; Marcel Gutsche; Hae Gon Jeon; In So Kweon; Jaesik Park; Jinsun Park; Hendrik Schilling; Hao Sheng; Lipeng Si; Michael Strecke; Antonin Sulc; Yu Wing Tai; Qing Wang; Ting Chun Wang; Sven Wanner; Zhang Xiong; Jingyi Yu; Shuo Zhang; Hao Zhu

doi:10.1109/CVPRW.2017.226

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms

Ole Johannsen
, Katrin Honauer
, Bastian Goldluecke
, Anna Alperovich
, Federica Battisti
, Yunsu Bok
, Michele Brizzi
, Marco Carli
, Gyeongmin Choe
, Maximilian Diebold
, Marcel Gutsche
, Hae Gon Jeon
, In So Kweon
, Jaesik Park
, Jinsun Park
, Hendrik Schilling
, Hao Sheng
, Lipeng Si
, Michael Strecke
, Antonin Sulc

Yu Wing Tai, Qing Wang, Ting Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, Hao Zhu

计算机学院

University of Konstanz
Heidelberg University
Roma Tre University
Electronics and Telecommunications Research Institute
Korea Advanced Institute of Science and Technology
Intel
Beihang University
Northwestern Polytechnical University Xian
Tencent
University of California at Berkeley
Lumitec
ShanghaiTech University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

104 引用（Scopus）

摘要

This paper presents the results of the depth estimation challenge for dense light fields, which took place at the second workshop on Light Fields for Computer Vision (LF4CV) in conjunction with CVPR 2017. The challenge consisted of submission to a recent benchmark [7], which allows a thorough performance analysis. While individual results are readily available on the benchmark web page http://www.lightfield-analysis.net, we take this opportunity to give a detailed overview of the current participants. Based on the algorithms submitted to our challenge, we develop a taxonomy of light field disparity estimation algorithms and give a report on the current state-ofthe- art. In addition, we include more comparative metrics, and discuss the relative strengths and weaknesses of the algorithms. Thus, we obtain a snapshot of where light field algorithm development stands at the moment and identify aspects with potential for further improvement.

源语言	英语
主期刊名	Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
出版商	IEEE Computer Society
页	1795-1812
页数	18
ISBN（电子版）	9781538607336
DOI	https://doi.org/10.1109/CVPRW.2017.226
出版状态	已出版 - 22 8月 2017
活动	30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, 美国期限: 21 7月 2017 → 26 7月 2017

出版系列

姓名	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
卷	2017-July
ISSN（印刷版）	2160-7508
ISSN（电子版）	2160-7516

会议

会议	30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
国家/地区	美国
市	Honolulu
时期	21/07/17 → 26/07/17

访问文件

10.1109/CVPRW.2017.226

其它文件与链接

链接到 Scopus 的出版物

引用此

Johannsen, O., Honauer, K., Goldluecke, B., Alperovich, A., Battisti, F., Bok, Y., Brizzi, M., Carli, M., Choe, G., Diebold, M., Gutsche, M., Jeon, H. G., Kweon, I. S., Park, J., Park, J., Schilling, H., Sheng, H., Si, L., Strecke, M., ... Zhu, H. (2017). A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. 在 Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 (页码 1795-1812). 文章 8014960 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; 卷 2017-July). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2017.226

Johannsen, Ole ; Honauer, Katrin ; Goldluecke, Bastian 等. / A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE Computer Society, 2017. 页码 1795-1812 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

@inproceedings{1f91c2945b684858ac0e7ef55e1fdd12,

title = "A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms",

abstract = "This paper presents the results of the depth estimation challenge for dense light fields, which took place at the second workshop on Light Fields for Computer Vision (LF4CV) in conjunction with CVPR 2017. The challenge consisted of submission to a recent benchmark [7], which allows a thorough performance analysis. While individual results are readily available on the benchmark web page http://www.lightfield-analysis.net, we take this opportunity to give a detailed overview of the current participants. Based on the algorithms submitted to our challenge, we develop a taxonomy of light field disparity estimation algorithms and give a report on the current state-ofthe- art. In addition, we include more comparative metrics, and discuss the relative strengths and weaknesses of the algorithms. Thus, we obtain a snapshot of where light field algorithm development stands at the moment and identify aspects with potential for further improvement.",

author = "Ole Johannsen and Katrin Honauer and Bastian Goldluecke and Anna Alperovich and Federica Battisti and Yunsu Bok and Michele Brizzi and Marco Carli and Gyeongmin Choe and Maximilian Diebold and Marcel Gutsche and Jeon, \{Hae Gon\} and Kweon, \{In So\} and Jaesik Park and Jinsun Park and Hendrik Schilling and Hao Sheng and Lipeng Si and Michael Strecke and Antonin Sulc and Tai, \{Yu Wing\} and Qing Wang and Wang, \{Ting Chun\} and Sven Wanner and Zhang Xiong and Jingyi Yu and Shuo Zhang and Hao Zhu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 ; Conference date: 21-07-2017 Through 26-07-2017",

year = "2017",

month = aug,

day = "22",

doi = "10.1109/CVPRW.2017.226",

language = "英语",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

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booktitle = "Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017",

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Johannsen, O, Honauer, K, Goldluecke, B, Alperovich, A, Battisti, F, Bok, Y, Brizzi, M, Carli, M, Choe, G, Diebold, M, Gutsche, M, Jeon, HG, Kweon, IS, Park, J, Park, J, Schilling, H, Sheng, H, Si, L, Strecke, M, Sulc, A, Tai, YW, Wang, Q, Wang, TC, Wanner, S, Xiong, Z, Yu, J, Zhang, S & Zhu, H 2017, A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. 在 Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017., 8014960, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 卷 2017-July, IEEE Computer Society, 页码 1795-1812, 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017, Honolulu, 美国, 21/07/17. https://doi.org/10.1109/CVPRW.2017.226

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. / Johannsen, Ole; Honauer, Katrin; Goldluecke, Bastian 等.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE Computer Society, 2017. 页码 1795-1812 8014960 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; 卷 2017-July).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms

AU - Johannsen, Ole

AU - Honauer, Katrin

AU - Goldluecke, Bastian

AU - Alperovich, Anna

AU - Battisti, Federica

AU - Bok, Yunsu

AU - Brizzi, Michele

AU - Carli, Marco

AU - Choe, Gyeongmin

AU - Diebold, Maximilian

AU - Gutsche, Marcel

AU - Jeon, Hae Gon

AU - Kweon, In So

AU - Park, Jaesik

AU - Park, Jinsun

AU - Schilling, Hendrik

AU - Sheng, Hao

AU - Si, Lipeng

AU - Strecke, Michael

AU - Sulc, Antonin

AU - Tai, Yu Wing

AU - Wang, Qing

AU - Wang, Ting Chun

AU - Wanner, Sven

AU - Xiong, Zhang

AU - Yu, Jingyi

AU - Zhang, Shuo

AU - Zhu, Hao

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AB - This paper presents the results of the depth estimation challenge for dense light fields, which took place at the second workshop on Light Fields for Computer Vision (LF4CV) in conjunction with CVPR 2017. The challenge consisted of submission to a recent benchmark [7], which allows a thorough performance analysis. While individual results are readily available on the benchmark web page http://www.lightfield-analysis.net, we take this opportunity to give a detailed overview of the current participants. Based on the algorithms submitted to our challenge, we develop a taxonomy of light field disparity estimation algorithms and give a report on the current state-ofthe- art. In addition, we include more comparative metrics, and discuss the relative strengths and weaknesses of the algorithms. Thus, we obtain a snapshot of where light field algorithm development stands at the moment and identify aspects with potential for further improvement.

UR - https://www.scopus.com/pages/publications/85030266612

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DO - 10.1109/CVPRW.2017.226

M3 - 会议稿件

AN - SCOPUS:85030266612

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

SP - 1795

EP - 1812

BT - Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017

PB - IEEE Computer Society

T2 - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017

Y2 - 21 July 2017 through 26 July 2017

ER -

Johannsen O, Honauer K, Goldluecke B, Alperovich A, Battisti F, Bok Y 等. A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. 在 Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE Computer Society. 2017. 页码 1795-1812. 8014960. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW.2017.226

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms

摘要

出版系列

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引用此