Model-based registration of front- and backviews of rotationally symmetric objects

Authors:
Robert Sablatnig;Martin Kampel
Affiliations:
Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Favoritenstraße 9/183/2, A-1040 Vienna, Austria;Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Favoritenstraße 9/183/2, A-1040 Vienna, Austria
Venue:
Computer Vision and Image Understanding - Registration and fusion of range images
Year:
2002

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Abstract

This paper shows an algorithm that prealigns the front- and the backviews of rotationally symmetric objects for the registration of the two 3D-surfaces without using corresponding points. The geometric alignment of the two 3D surfaces is then performed by using a modified ICP (iterative closest point) algorithm, which needs an initial estimate of the relative pose. The method proposed uses the axis of rotation of fragments to bring two range images into alignment. We are developing a classification system for archaeological fragments based on their profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence, the correct registration of the front- and backview are important. We demonstrate the method and give results on synthetic and real data.