Visual Looming from Motion Field and Surface Normals

Juan Yepes, Daniel Raviv

2023

Abstract

Looming, traditionally defined as the relative expansion of objects in the observer’s retina, is a fundamental visual cue for perception of threat and can be used to accomplish collision free navigation. In this paper we derive novel solutions for obtaining visual looming quantitatively from the 2D motion field resulting from a six-degree-of-freedom motion of an observer relative to a local surface in 3D. We also show the relationship between visual looming and surface normals. We present novel methods to estimate visual looming from spatial derivatives of optical flow without the need for knowing range. Simulation results show that estimations of looming are very close to ground truth looming under some assumptions of surface orientations. In addition, we present results of visual looming using real data from the KITTI dataset. Advantages and limitations of the methods are discussed as well.

Paper Citation

in Harvard Style

Yepes J. and Raviv D. (2023). Visual Looming from Motion Field and Surface Normals. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-652-1, SciTePress, pages 46-53. DOI: 10.5220/0011727400003479

in Bibtex Style

@conference{vehits23,
author={Juan Yepes and Daniel Raviv},
title={Visual Looming from Motion Field and Surface Normals},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2023},
pages={46-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011727400003479},
isbn={978-989-758-652-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Visual Looming from Motion Field and Surface Normals
SN - 978-989-758-652-1
AU - Yepes J.
AU - Raviv D.
PY - 2023
SP - 46
EP - 53
DO - 10.5220/0011727400003479
PB - SciTePress