Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics

Guo, Y., Sohel, F.A., Bennamoun, M., Wan, J. and Lu, M. (2013) RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics. In: 1st International Communications Conference on Signal Processing, and their Applications (ICCSPA) 2013, 12-14 February 2013, Sharjah pp. 1-6.

Link to Published Version: http://dx.doi.org/10.1109/ICCSPA.2013.6487310
*Subscription may be required

Abstract

The proper choice of local surface feature descriptors is a key step for an accurate and robust surface matching between different range images. This paper presents a novel 3D feature descriptor for free form objects based on rotational projection statistics. A rotation invariant local reference frame for each feature point is defined by performing an eigenvalue decomposition on the covariance matrix formed by all points lying on the local surface. The feature descriptor is then constructed by rotationally projecting the neighboring 3D points onto 2D planes and by calculating low order moments and the entropy of the 2D distribution matrix on these planes. Experiments were performed on a dataset comprised of 45 scenes, and the results show that the proposed method is robust to noise and variations in mesh resolution.

Item Type: Conference Paper
URI: http://researchrepository.murdoch.edu.au/id/eprint/28502
Item Control Page Item Control Page