/Surface Registration by Matching Oriented Points

Surface Registration by Matching Oriented Points

Andrew Johnson and Martial Hebert
Conference Paper, International Conference on Recent Advances in 3-D Digital Imaging and Modeling, pp. 121-128, May, 1997

Download Publication (PDF)

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.


For registration of 3-D free-form surfaces we have developed a representation which requires no knowledge of the transformation between views. The representation comprises descriptive images associated with oriented points on the surface of an object. Constructed using single point bases, these images are data level shape descriptions that are used for efficient matching of oriented points. Correlation of images is used to establish point correspondences between two views; from these correspondences a rigid transformation that aligns the views is calculated. The transformation is then refined and verified using a modified iterative closest point algorithm. To demonstrate the generality of our approach, we present results from multiple sensing domains.

BibTeX Reference
author = {Andrew Johnson and Martial Hebert},
title = {Surface Registration by Matching Oriented Points},
booktitle = {International Conference on Recent Advances in 3-D Digital Imaging and Modeling},
year = {1997},
month = {May},
pages = {121-128},