Solving orientation duality for 3D circular features using monocular vision

AlZoubi, A. and Kleinhappel, T. K. and Pike, T. W. and Al-Diri, B. and Dickinson, P. (2015) Solving orientation duality for 3D circular features using monocular vision. In: Conference of 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, 11 - 14 March 2015, Berlin, germany.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Methods for estimating the 3D orientation of circular features from a single image result in at least two solutions, of which only one corresponds to the actual orientation of the object. In this paper we propose two new methods for solving this "orientation duality" problem using a single image. Our first method estimates the resulting ellipse projections in 2D space for the given solutions, then matches them against the image ellipse to infer the true orientation. The second method compares solutions from two co-planar circle features with different centre points, to identify their mutual true orientation. Experimental results show the robustness and the effectiveness of our methods for solving the duality problem, and perform better than state-of-art methods.

Additional Information:Conference Date: 2015
Keywords:Covariance matrix, Vision, 2-D space, 3D orientation, Circle features, Circular feature, Duality problems, Monocular vision, Single images, State-of-art methods, Computer vision
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:20655
Deposited On:26 Mar 2016 19:56

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