CUED Publications database

A new distance for scale-invariant 3D shape recognition and registration

Pham, M-T and Woodford, OJ and Perbet, F and Maki, A and Stenger, B and Cipolla, R (2011) A new distance for scale-invariant 3D shape recognition and registration. Proceedings of the IEEE International Conference on Computer Vision. pp. 145-152.

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Abstract

This paper presents a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transforms for the first time. We introduce a new distance between poses in this spacethe SRT distance. It is left-invariant, unlike Euclidean distance, and has a unique, closed-form mean, in contrast to Riemannian distance, so is fast to compute. We demonstrate improved performance over the state of the art in both recognition and registration on a real and challenging dataset, by comparing our distance with others in a mean shift framework, as well as with the commonly used Hough voting approach. © 2011 IEEE.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:20
Last Modified: 08 Dec 2014 02:26
DOI: 10.1109/ICCV.2011.6126236