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Authors: Jens Garstka and Gabriele Peters

Affiliation: University of Hagen, Germany

ISBN: 978-989-758-123-6

Keyword(s): 3-D Keypoint Detection, 3-D Recognition, 3-D Computer Vision.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Mobile Robots and Autonomous Systems ; Perception and Awareness ; Robotics and Automation ; Virtual Environment, Virtual and Augmented Reality ; Vision, Recognition and Reconstruction

Abstract: In robot perception, as well as in other areas of 3-D computer vision, keypoint detection is the first major step for an efficient and accurate 3-D perception of the environment. Thus, a fast and robust algorithm for an automatic identification of keypoints in unstructured 3-D point clouds is essential. The presented algorithm is designed to be highly parallelizable and can be implemented on modern GPUs for fast execution. The computation is based on a convolution of a voxel based representation of the point cloud and a voxelized integral volume. The generation of the voxel-based representation neither requires additional surface information or normals nor needs to approximate them. The proposed approach is robust against noise up to the mean distance between the 3-D points. In addition, the algorithm provides moderate scale invariance, i. e., it can approximate keypoints for lower resolution versions of the input point cloud. This is particularly useful, if keypoints are supposed to be used with any local 3-D point cloud descriptor to recognize or classify point clouds at different scales. We evaluate our approach in a direct comparison with state-of-the-art keypoint detection algorithms in terms of repeatability and computation time. (More)

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Paper citation in several formats:
Garstka J. and Peters G. (2015). Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds.In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 131-140. DOI: 10.5220/0005569501310140

@conference{icinco15,
author={Jens Garstka and Gabriele Peters},
title={Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={131-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005569501310140},
isbn={978-989-758-123-6},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds
SN - 978-989-758-123-6
AU - Garstka J.
AU - Peters G.
PY - 2015
SP - 131
EP - 140
DO - 10.5220/0005569501310140

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