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Direct estimation of local surface shape in a fixating binocular vision system
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
1994 (English)In: Computer Vision — ECCV '94: Third European Conference on Computer Vision Stockholm, Sweden, May 2–6, 1994 Proceedings, Volume I, Springer Berlin/Heidelberg, 1994, 365-376 p.Conference paper (Refereed)
Abstract [en]

This paper addresses the problem of computing cues to the three-dimensional structure of surfaces in the world directly from the local structure of the brightness pattern of a binocular image pair. The geometric information content of the gradient of binocular disparity is analyzed for the general case of a fixating vision system with symmetric or asymmetric vergence, and with either known or unknown viewing geometry. A computationally inexpensive technique which exploits this analysis is proposed. This technique allows a local estimate of surface orientation to be computed directly from the local statistics of the left and right image brightness gradients, without iterations or search. The viability of the approach is demonstrated with experimental results for both synthetic and natural gray-level images.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 1994. 365-376 p.
, Lecture Notes in Computer Science, 800
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:kth:diva-58577DOI: 10.1007/3-540-57956-7_40ISBN: 978-3-540-57956-4OAI: diva2:473379
3rd European Conference on Computer Vision (Stockholm, Sweden)

QC 20130423

Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2013-04-23Bibliographically approved

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