Texture unwrapping for spherical objects on conveyors

Authors:
Sudanthi N. R. Wijewickrema;Andrew P. Paplinski;Charles E. Esson
Affiliations:
Clayton School of Information Technology, Monash University, Clayton, Australia;Clayton School of Information Technology, Monash University, Clayton, Australia;Colour Vision Systems Pty Ltd, Bacchus Marsh, Australia
Venue:
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2006

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Abstract

This paper discusses how the texture of a spherical object can be unwrapped from several images obtained from stereo cameras. This is specifically aimed at applications such as fruit grading where spherical fruit travel on a conveyor while cameras capture images at regular intervals. Since this is a real-time application, the proposed algorithm has to be acceptably efficient, while ensuring that the whole surface of the fruit is accounted for in the selected areas of the images with minimum redundancy.