Title :
Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
Author :
Lakemond, Ruan ; Fookes, Clinton ; Sridharan, Sridha
Author_Institution :
Image & Video Lab., Queensland Univ. of Technol., Brisbane, QLD, Australia
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.
Keywords :
cameras; computational geometry; feature extraction; camera geometry; dense correspondence extraction; feature extraction; geometry computations; low resolution cameras; sparsely placed cameras; Computational geometry; Computer applications; Computer networks; Digital cameras; Digital images; Feature extraction; Laboratories; Lakes; Layout; Robustness; dense matching; epipolar geometry; local image features; uncalibrated method;
Conference_Titel :
Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-5297-2
Electronic_ISBN :
978-0-7695-3866-2
DOI :
10.1109/DICTA.2009.19