Sub-pixel stereo matching

N. SABATER; J. M. MOREL; A. ALMANSA

doi:10.1109/IGARSS.2010.5649649

Sub-pixel stereo matching

N. SABATER^*
, J. M. MOREL
, A. ALMANSA

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

The obtention of 3D information from two images requires the perfect control of a long chain of algorithms: internal and external calibration, stereo-rectification, correlation, and finally 3D reconstruction. In this paper we focus on the improvement of the correlation step for small baseline stereo. In that setting a very strong sub-pixel accuracy is possible. This accuracy is also necessary to obtain high resolution urban maps in geographic information systems. We show that if the images are carefully taken, then the disparity map in stereo-rectified images can be computed for a majority of image points to a 1/20 pixel precision under realistic noise conditions. Experiments on the Middlebury benchmark also stress the need for a methodology to create reliable ground truths. © 2010 IEEE.

Original language	English
Title of host publication	2010 IEEE International Geoscience and Remote Sensing Symposium: Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3182-3185
Number of pages	4
ISBN (Print)	9781424495658, 9781424495665
DOIs	https://doi.org/10.1109/IGARSS.2010.5649649
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE International Geoscience & Remote Sensing Symposium - Honolulu, United States Duration: 25 Jul 2010 → 30 Jul 2010

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium proceedings
Publisher	IEEE
ISSN (Electronic)	2153-7003

Symposium

Symposium	2010 IEEE International Geoscience & Remote Sensing Symposium
Abbreviated title	IGARSS 2010
Country/Territory	United States
City	Honolulu
Period	25/07/10 → 30/07/10

Funding

We acknowledge funding from CNES (French Space Agency), ANR FREEDOM, ANR Calisto, and ECOS Sud U06E01

Access to Document

10.1109/IGARSS.2010.5649649

Cite this

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title = "Sub-pixel stereo matching",

abstract = "The obtention of 3D information from two images requires the perfect control of a long chain of algorithms: internal and external calibration, stereo-rectification, correlation, and finally 3D reconstruction. In this paper we focus on the improvement of the correlation step for small baseline stereo. In that setting a very strong sub-pixel accuracy is possible. This accuracy is also necessary to obtain high resolution urban maps in geographic information systems. We show that if the images are carefully taken, then the disparity map in stereo-rectified images can be computed for a majority of image points to a 1/20 pixel precision under realistic noise conditions. Experiments on the Middlebury benchmark also stress the need for a methodology to create reliable ground truths. {\textcopyright} 2010 IEEE.",

author = "N. SABATER and MOREL, \{J. M.\} and A. ALMANSA",

year = "2010",

doi = "10.1109/IGARSS.2010.5649649",

language = "English",

isbn = "9781424495658",

series = "IEEE International Geoscience and Remote Sensing Symposium proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3182--3185",

booktitle = "2010 IEEE International Geoscience and Remote Sensing Symposium: Proceedings",

address = "United States",

note = "2010 IEEE International Geoscience \& Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",

}

SABATER, N, MOREL, JM & ALMANSA, A 2010, Sub-pixel stereo matching. in 2010 IEEE International Geoscience and Remote Sensing Symposium: Proceedings., 5649649, IEEE International Geoscience and Remote Sensing Symposium proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 3182-3185, 2010 IEEE International Geoscience & Remote Sensing Symposium, Honolulu, Hawaii, United States, 25/07/10. https://doi.org/10.1109/IGARSS.2010.5649649

Sub-pixel stereo matching. / SABATER, N.; MOREL, J. M.; ALMANSA, A.
2010 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2010. p. 3182-3185 5649649 (IEEE International Geoscience and Remote Sensing Symposium proceedings).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - MOREL, J. M.

AU - ALMANSA, A.

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AB - The obtention of 3D information from two images requires the perfect control of a long chain of algorithms: internal and external calibration, stereo-rectification, correlation, and finally 3D reconstruction. In this paper we focus on the improvement of the correlation step for small baseline stereo. In that setting a very strong sub-pixel accuracy is possible. This accuracy is also necessary to obtain high resolution urban maps in geographic information systems. We show that if the images are carefully taken, then the disparity map in stereo-rectified images can be computed for a majority of image points to a 1/20 pixel precision under realistic noise conditions. Experiments on the Middlebury benchmark also stress the need for a methodology to create reliable ground truths. © 2010 IEEE.

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M3 - Conference paper (refereed)

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T3 - IEEE International Geoscience and Remote Sensing Symposium proceedings

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BT - 2010 IEEE International Geoscience and Remote Sensing Symposium: Proceedings

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Y2 - 25 July 2010 through 30 July 2010

ER -

Sub-pixel stereo matching

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