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Dense Correspondence Extraction in Difficult Uncalibrated Scenarios

Lakemond, Ruan, Fookes, Clinton, & Sridharan, Sridha (2009) Dense Correspondence Extraction in Difficult Uncalibrated Scenarios. In 2009 Digital Image Computing : Techniques and Applications, IEEE Computer Society Conference Publishing Services, Melbourne, Australia, pp. 53-60.

Abstract

The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the camera geometry. In camera networks with sparsely placed cameras, low resolution cameras or in scenes with few distinguishable features it may be difficult to find a sufficient number of reliable correspondences from which to compute geometry. This paper presents a method for extracting a larger number of correspondences from an initial set of putative correspondences without any knowledge of the scene or camera geometry. The method may be used to increase the number of correspondences and make geometry computations possible in cases where existing methods have produced insufficient correspondences.

Impact and interest:

3 citations in Scopus
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0 citations in Web of Science®

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Full-text downloads:

171 since deposited on 18 Dec 2009
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ID Code: 29380
Item Type: Conference Paper
Keywords: local image features, uncalibrated method, epipolar geometry, dense matching
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 IEEE.
Deposited On: 18 Dec 2009 12:32
Last Modified: 20 Jul 2012 16:33

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