Abstract
The purpose of this paper is to solve the problem of matching two 3D point sets quickly in the field of robot vision. Moravec vertical interest operator is used to extract vertical edge feature of objects. The method of the sum squared difference (SSD) is used to match the feature points and obtain the 3D point sets which contain vertical line feature. Find the transformation relation of rotation and translation of corresponding straight lines in two 3D point sets according to the projection point of vertical line projected into x-y plane. Depending on the transformation relation, it can match two 3D point sets. The experiment results illustrate that this method has good exactness and robustness.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Jiang, L., Liu, J., Li, D., Zhu, Z. (2012). 3D Point Sets Matching Method Based on Moravec Vertical Interest Operator. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28314-7_7
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DOI: https://doi.org/10.1007/978-3-642-28314-7_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28313-0
Online ISBN: 978-3-642-28314-7
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