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  Learning Depth From Stereo

Sinz, F., Candela, J., BakIr, G., Rasmussen, C., & Franz, M. (2004). Learning Depth From Stereo. In C. Rasmussen, H. Bülthoff, B. Schölkopf, & M. Giese (Eds.), Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004 (pp. 245-252). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D7EB-B Version Permalink: https://hdl.handle.net/21.11116/0000-0006-C562-D
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-540-28649-3_30.pdf (Publisher version)
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 Creators:
Sinz, F1, 2, Author           
Candela, JQ1, 2, Author           
BakIr, G1, 2, Author           
Rasmussen, CE1, 2, Author           
Franz, M1, 2, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: We compare two approaches to the problem of estimating the depth of a point in space from observing its image position in two
different cameras: 1.~The classical photogrammetric approach
explicitly models the two cameras and estimates their intrinsic
and extrinsic parameters using a tedious calibration procedure;
2.~A generic machine learning approach where the mapping from
image to spatial coordinates is directly approximated by a Gaussian Process regression. Our results show that the generic
learning approach, in addition to simplifying the procedure of
calibration, can lead to higher depth accuracies than classical
calibration although no specific domain knowledge is used.

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 Dates: 2004-09
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: 2644
DOI: 10.1007/978-3-540-28649-3_30
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Title: 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004)
Place of Event: Tübingen, Germany
Start-/End Date: 2004-08-30 - 2004-09-01

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Title: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004
Source Genre: Proceedings
 Creator(s):
Rasmussen, CE1, Editor           
Bülthoff, HH1, Editor           
Schölkopf, B1, Editor           
Giese, MA, Editor           
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 245 - 252 Identifier: ISBN: 978-3-540-22945-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 3175 Sequence Number: - Start / End Page: - Identifier: -