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Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Brightness Structure
KTH, Tidigare Institutioner, Numerisk analys och datalogi, NADA.ORCID-id: 0000-0002-9081-2170
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
1994 (engelsk)Inngår i: Computer Vision — ECCV '94: Third European Conference on Computer Vision Stockholm, Sweden, May 2–6, 1994 Proceedings, Volume I, 1994, s. 389-400Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Rotationally symmetric operations in the image domain may give rise to shape distortions. This article describes a way of reducing this effect for a general class of methods for deriving 3-D shape cues from 2-D image data, which are based on the estimation of locally linearized distortion of brightness patterns. By extending the linear scale-space concept into an affine scale-spacerepresentation and performing affine shape adaption of the smoothing kernels, the accuracy of surface orientation estimates derived from texture and disparity cues can be improved by typically one order of magnitude. The reason for this is that the image descriptors, on which the methods are based, will be relative invariant under affine transformations, and the error will thus be confined to the higher-order terms in the locally linearized perspective mapping.

sted, utgiver, år, opplag, sider
1994. s. 389-400
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-58576DOI: 10.1007/3-540-57956-7_42ISBN: 978-3-540-57956-4 (tryckt)OAI: oai:DiVA.org:kth-58576DiVA, id: diva2:473373
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3rd European Conf. on Computer Vision (Stockholm, Sweden)
Merknad

QC 20130423

Tilgjengelig fra: 2012-01-05 Laget: 2012-01-05 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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