Dense Correspondence Extraction in Difficult Uncalibrated Scenarios


Autoria(s): Lakemond, Ruan; Fookes, Clinton; Sridharan, Sridha
Data(s)

03/12/2009

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/29380/

Publicador

IEEE Computer Society Conference Publishing Services

Relação

http://eprints.qut.edu.au/29380/1/3866a053.pdf

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.

Direitos

Copyright 2009 IEEE.

Fonte

Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems

Palavras-Chave #080104 Computer Vision #080106 Image Processing #local image features #uncalibrated method #epipolar geometry #dense matching
Tipo

Conference Paper