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Phase-differencing in Stereo Vision - Solving the Localisation Problem
Author(s) -
J. M. H. du Buf,
Kasim Terzić,
João M. F. Rodrigues
Publication year - 2013
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0004349702540263
Subject(s) - construct (python library) , computer vision , artificial intelligence , stereopsis , computer science , quadrature (astronomy) , translation (biology) , machine vision , image (mathematics) , mathematics , optics , physics , biochemistry , chemistry , messenger rna , gene , programming language
Complex Gabor filters with phases in quadrature are often used to model evenand odd-symmetric simple cells in the primary visual cortex. In stereo vision, the phase difference between the responses of the left and right views can be used to construct a disparity or depth map. Various constraints can be applied in order to construct smooth maps, but this leads to very imprecise depth transitions. In this theoretical paper we show, by using lines and edges as image primitives, the origin of the localisation problem. We also argue that disparity should be attributed to lines and edges, rather than trying to construct a 3D surface map in cortical area V1. We derive allowable translation ranges which yield correct disparity estimates, both for left-view centered vision and for cyclopean vision.

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