Quantitative Affine Feature Detector Comparison based on Real-World Images Taken by a Quadcopter

Zoltán Pusztai, Levente Hajder

2019

Abstract

Feature detectors are frequently used in computer vision. Recently, detectors which can extract the affine transformation between the features have become popular. With affine transformations, it is possible to estimate the properties of the camera motion and the 3D scene from significantly fewer feature correspondences. This paper quantitatively compares the affine feature detectors on real-world images captured by a quadcopter. The ground truth (GT) data are calculated from the constrained motion of the cameras. Accurate and very realistic testing data are generated for both the feature locations and the corresponding affine transformations. Based on the generated GT data, many popular affine feature detectors are quantitatively compared.

Paper Citation

in Harvard Style

Pusztai Z. and Hajder L. (2019). Quantitative Affine Feature Detector Comparison based on Real-World Images Taken by a Quadcopter. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 704-715. DOI: 10.5220/0007372907040715

in Bibtex Style

@conference{visapp19,
author={Zoltán Pusztai and Levente Hajder},
title={Quantitative Affine Feature Detector Comparison based on Real-World Images Taken by a Quadcopter},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={704-715},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007372907040715},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - Quantitative Affine Feature Detector Comparison based on Real-World Images Taken by a Quadcopter
SN - 978-989-758-354-4
AU - Pusztai Z.
AU - Hajder L.
PY - 2019
SP - 704
EP - 715
DO - 10.5220/0007372907040715
PB - SciTePress