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Depth Estimation from Stereoscopic Image Pairs Assuming Piecewise Continuos Surfaces (1994)

Abstract
An algorithm for estimating reliable and accurate depth maps from stereoscopic image pairs is presented, which is based on block--matching techniques for disparity estimation. By taking neighboring disparity values into account, reliability and accuracy of the estimated disparity values are increased and the corona effect at disparity discontinuities is avoided. An interpolation of disparity values within segmented regions of homogeneous disparity enables the computation of dense depth maps by means of triangulation. 1 Introduction Depth estimation is used in applications like 3D--modelling of natural objects [1] [2], 3D--remote handling and quality control [3]. Depth information is obtained by a triangulation of corresponding image points with known stereoscopic camera parameters. Therefore, the coordinate difference between corresponding image points, called disparity, has to be estimated. Applying common block--matching techniques for disparity estimation, the correspondence of i...

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.45.4255
Source ftp://ftp.tnt.uni-hannover.de/pub/papers/1994/MONALISA94-LF.ps.gz
Publisher Springer
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
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