Geometric Edge Description and Classification in Point Cloud Data with Application to 3D Object Recognition

Troels Bo Jørgensen, Anders Glent Buch, Dirk Kraft

2015

Abstract

This paper addresses the detection of geometric edges on 3D shapes. We investigate the use of local point cloud features and cast the edge detection problem as a learning problem. We show how supervised learning techniques can be applied to an existing shape description in terms of local feature descriptors. We apply our approach to several well-known shape descriptors. As an additional contribution, we develop a novel shape descriptor, termed Equivalent Circumference Surface Angle Descriptor or ECSAD, which is particularly suitable for capturing local surface properties near edges. Our proposed descriptor allows for both fast computation and fast processing by having a low dimension, while still producing highly reliable edge detections. Lastly, we use our features in a 3D object recognition application using a well-established benchmark. We show that our edge features allow for significant speedups while achieving state of the art results.

Paper Citation

in Harvard Style

Jørgensen T., Buch A. and Kraft D. (2015). Geometric Edge Description and Classification in Point Cloud Data with Application to 3D Object Recognition . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 333-340. DOI: 10.5220/0005196703330340

in Bibtex Style

@conference{visapp15,
author={Troels Bo Jørgensen and Anders Glent Buch and Dirk Kraft},
title={Geometric Edge Description and Classification in Point Cloud Data with Application to 3D Object Recognition},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={333-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005196703330340},
isbn={978-989-758-089-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Geometric Edge Description and Classification in Point Cloud Data with Application to 3D Object Recognition
SN - 978-989-758-089-5
AU - Jørgensen T.
AU - Buch A.
AU - Kraft D.
PY - 2015
SP - 333
EP - 340
DO - 10.5220/0005196703330340