Dense Correspondence Extraction in Difficult Uncalibrated Scenarios

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-local image features; uncalibrated method; epipolar geometry; dense matching;

• Type: Conference
• Year: 2009
• Where: DICTA
• Authors: Ruan Lakemond, Clinton Fookes, Sridha Sridharan
• Keywords: Camera, Camera Geometry, DICTA 2007, DICTA 2009, Reliable Correspondences