A real-time depth estimation approach for a focused plenoptic camera

Ross Vasko; Niclas Zeller; Franz Quint; Uwe Stilla

doi:10.1007/978-3-319-27863-6_7

A real-time depth estimation approach for a focused plenoptic camera

Ross Vasko
, Niclas Zeller
, Franz Quint
, Uwe Stilla

Associate Professorship of Photogrammetry and Remote Sensing

Ohio State University
Karlsruhe University of Applied Sciences
Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents an algorithm for real-time depth estimation with a focused plenoptic camera. The described algorithm is based on pixel-wise stereo-observations in the raw image recorded by the plenoptic camera which are combined in a probabilistic depth map. Additionally, we provide efficient methods for outlier removal based on a Naive Bayes classifier as well as depth refinement using a bilateral filter. We achieve a real-time performance for our algorithm by an optimized parallel implementation.

Original language	English
Title of host publication	Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
Editors	Bahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle
Publisher	Springer Verlag
Pages	70-80
Number of pages	11
ISBN (Print)	9783319278629
DOIs	https://doi.org/10.1007/978-3-319-27863-6_7
State	Published - 2015
Event	11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States Duration: 14 Dec 2015 → 16 Dec 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9475
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Symposium on Advances in Visual Computing , ISVC 2015
Country/Territory	United States
City	Las Vegas
Period	14/12/15 → 16/12/15

Access to Document

10.1007/978-3-319-27863-6_7

Cite this

Vasko, R., Zeller, N., Quint, F., & Stilla, U. (2015). A real-time depth estimation approach for a focused plenoptic camera. In B. Parvin, D. Koracin, R. Feris, G. Weber, I. Pavlidis, T. McGraw, R. Kopper, Z. Ye, E. Ragan, G. Bebis, M. Elendt, & R. Boyle (Eds.), Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings (pp. 70-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9475). Springer Verlag. https://doi.org/10.1007/978-3-319-27863-6_7

Vasko, Ross ; Zeller, Niclas ; Quint, Franz et al. / A real-time depth estimation approach for a focused plenoptic camera. Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. editor / Bahram Parvin ; Darko Koracin ; Rogerio Feris ; Gunther Weber ; Ioannis Pavlidis ; Tim McGraw ; Regis Kopper ; Zhao Ye ; Eric Ragan ; George Bebis ; Mark Elendt ; Richard Boyle. Springer Verlag, 2015. pp. 70-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A real-time depth estimation approach for a focused plenoptic camera",

abstract = "This paper presents an algorithm for real-time depth estimation with a focused plenoptic camera. The described algorithm is based on pixel-wise stereo-observations in the raw image recorded by the plenoptic camera which are combined in a probabilistic depth map. Additionally, we provide efficient methods for outlier removal based on a Naive Bayes classifier as well as depth refinement using a bilateral filter. We achieve a real-time performance for our algorithm by an optimized parallel implementation.",

author = "Ross Vasko and Niclas Zeller and Franz Quint and Uwe Stilla",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Symposium on Advances in Visual Computing , ISVC 2015 ; Conference date: 14-12-2015 Through 16-12-2015",

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editor = "Bahram Parvin and Darko Koracin and Rogerio Feris and Gunther Weber and Ioannis Pavlidis and Tim McGraw and Regis Kopper and Zhao Ye and Eric Ragan and George Bebis and Mark Elendt and Richard Boyle",

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Vasko, R, Zeller, N, Quint, F & Stilla, U 2015, A real-time depth estimation approach for a focused plenoptic camera. in B Parvin, D Koracin, R Feris, G Weber, I Pavlidis, T McGraw, R Kopper, Z Ye, E Ragan, G Bebis, M Elendt & R Boyle (eds), Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9475, Springer Verlag, pp. 70-80, 11th International Symposium on Advances in Visual Computing , ISVC 2015, Las Vegas, United States, 14/12/15. https://doi.org/10.1007/978-3-319-27863-6_7

A real-time depth estimation approach for a focused plenoptic camera. / Vasko, Ross; Zeller, Niclas; Quint, Franz et al.
Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. ed. / Bahram Parvin; Darko Koracin; Rogerio Feris; Gunther Weber; Ioannis Pavlidis; Tim McGraw; Regis Kopper; Zhao Ye; Eric Ragan; George Bebis; Mark Elendt; Richard Boyle. Springer Verlag, 2015. p. 70-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9475).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents an algorithm for real-time depth estimation with a focused plenoptic camera. The described algorithm is based on pixel-wise stereo-observations in the raw image recorded by the plenoptic camera which are combined in a probabilistic depth map. Additionally, we provide efficient methods for outlier removal based on a Naive Bayes classifier as well as depth refinement using a bilateral filter. We achieve a real-time performance for our algorithm by an optimized parallel implementation.

AB - This paper presents an algorithm for real-time depth estimation with a focused plenoptic camera. The described algorithm is based on pixel-wise stereo-observations in the raw image recorded by the plenoptic camera which are combined in a probabilistic depth map. Additionally, we provide efficient methods for outlier removal based on a Naive Bayes classifier as well as depth refinement using a bilateral filter. We achieve a real-time performance for our algorithm by an optimized parallel implementation.

UR - https://www.scopus.com/pages/publications/84952769843

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DO - 10.1007/978-3-319-27863-6_7

M3 - Conference contribution

AN - SCOPUS:84952769843

SN - 9783319278629

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BT - Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings

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A2 - Weber, Gunther

A2 - Pavlidis, Ioannis

A2 - McGraw, Tim

A2 - Kopper, Regis

A2 - Ye, Zhao

A2 - Ragan, Eric

A2 - Bebis, George

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Vasko R, Zeller N, Quint F, Stilla U. A real-time depth estimation approach for a focused plenoptic camera. In Parvin B, Koracin D, Feris R, Weber G, Pavlidis I, McGraw T, Kopper R, Ye Z, Ragan E, Bebis G, Elendt M, Boyle R, editors, Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings. Springer Verlag. 2015. p. 70-80. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-27863-6_7

A real-time depth estimation approach for a focused plenoptic camera

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