Surface extraction from iso-disparity contours

Chris McCarthy; Nick Barnes

doi:10.1007/978-3-642-19282-1_33

Surface extraction from iso-disparity contours

Chris McCarthy^*, Nick Barnes

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper examines the relationship between iso-disparity contours in stereo disparity space and planar surfaces in the scene. We specify constraints that may be exploited to group iso-disparity contours belonging to the same planar surface, and identify discontinuities between planar surfaces. We demonstrate the use of such constraints for planar surface extraction, particularly where the boundaries between surfaces are orientation discontinuities rather than depth discontinuities (e.g., segmenting obstacles and walls from a ground plane). We demonstrate the advantages of our approach over a range of indoor and outdoor stereo images, and show that iso-disparity analysis can provide a robust and efficient means of segmenting smooth surfaces, and obtaining planar surface models.

Original language	English
Title of host publication	Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers
Pages	410-421
Number of pages	12
Edition	PART 4
DOIs	https://doi.org/10.1007/978-3-642-19282-1_33
Publication status	Published - 2011
Event	10th Asian Conference on Computer Vision, ACCV 2010 - Queenstown, New Zealand Duration: 8 Nov 2010 → 12 Nov 2010 https://link.springer.com/book/10.1007/978-3-642-19282-1

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	6495 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th Asian Conference on Computer Vision, ACCV 2010
Country/Territory	New Zealand
City	Queenstown
Period	8/11/10 → 12/11/10
Internet address	https://link.springer.com/book/10.1007/978-3-642-19282-1

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10.1007/978-3-642-19282-1_33

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McCarthy, C., & Barnes, N. (2011). Surface extraction from iso-disparity contours. In Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers (PART 4 ed., pp. 410-421). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6495 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-19282-1_33

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title = "Surface extraction from iso-disparity contours",

abstract = "This paper examines the relationship between iso-disparity contours in stereo disparity space and planar surfaces in the scene. We specify constraints that may be exploited to group iso-disparity contours belonging to the same planar surface, and identify discontinuities between planar surfaces. We demonstrate the use of such constraints for planar surface extraction, particularly where the boundaries between surfaces are orientation discontinuities rather than depth discontinuities (e.g., segmenting obstacles and walls from a ground plane). We demonstrate the advantages of our approach over a range of indoor and outdoor stereo images, and show that iso-disparity analysis can provide a robust and efficient means of segmenting smooth surfaces, and obtaining planar surface models.",

author = "Chris McCarthy and Nick Barnes",

year = "2011",

doi = "10.1007/978-3-642-19282-1_33",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 4",

pages = "410--421",

booktitle = "Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers",

edition = "PART 4",

note = "10th Asian Conference on Computer Vision, ACCV 2010 ; Conference date: 08-11-2010 Through 12-11-2010",

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McCarthy, C & Barnes, N 2011, Surface extraction from iso-disparity contours. in Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers. PART 4 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 6495 LNCS, pp. 410-421, 10th Asian Conference on Computer Vision, ACCV 2010, Queenstown, New Zealand, 8/11/10. https://doi.org/10.1007/978-3-642-19282-1_33

Surface extraction from iso-disparity contours. / McCarthy, Chris; Barnes, Nick.
Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers. PART 4. ed. 2011. p. 410-421 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6495 LNCS, No. PART 4).

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

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N2 - This paper examines the relationship between iso-disparity contours in stereo disparity space and planar surfaces in the scene. We specify constraints that may be exploited to group iso-disparity contours belonging to the same planar surface, and identify discontinuities between planar surfaces. We demonstrate the use of such constraints for planar surface extraction, particularly where the boundaries between surfaces are orientation discontinuities rather than depth discontinuities (e.g., segmenting obstacles and walls from a ground plane). We demonstrate the advantages of our approach over a range of indoor and outdoor stereo images, and show that iso-disparity analysis can provide a robust and efficient means of segmenting smooth surfaces, and obtaining planar surface models.

AB - This paper examines the relationship between iso-disparity contours in stereo disparity space and planar surfaces in the scene. We specify constraints that may be exploited to group iso-disparity contours belonging to the same planar surface, and identify discontinuities between planar surfaces. We demonstrate the use of such constraints for planar surface extraction, particularly where the boundaries between surfaces are orientation discontinuities rather than depth discontinuities (e.g., segmenting obstacles and walls from a ground plane). We demonstrate the advantages of our approach over a range of indoor and outdoor stereo images, and show that iso-disparity analysis can provide a robust and efficient means of segmenting smooth surfaces, and obtaining planar surface models.

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DO - 10.1007/978-3-642-19282-1_33

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SN - 9783642192814

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers

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McCarthy C, Barnes N. Surface extraction from iso-disparity contours. In Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers. PART 4 ed. 2011. p. 410-421. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). doi: 10.1007/978-3-642-19282-1_33

Surface extraction from iso-disparity contours

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