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Volume 9
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Article

Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion

by
Yiting Tao
1,*,
Asanka Perera
2,
Samuel Teague
1,3,
Timothy McIntyre
1,3,
Eric Warrant
4 and
Javaan Chahl
1,3
1
School of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia
2
School of Engineering, University of Southern Queensland, Springfield, QLD 4300, Australia
3
Defence Science and Technology Group, Platforms Division, Edinburgh, SA 5111, Australia
4
Lund Vision Group, Department of Biology, University of Lund, SE-221 00 Lund, Sweden
*
Author to whom correspondence should be addressed.
Biomimetics 2024, 9(7), 375; https://doi.org/10.3390/biomimetics9070375
Submission received: 24 April 2024 / Revised: 13 June 2024 / Accepted: 19 June 2024 / Published: 21 June 2024
(This article belongs to the Section Locomotion and Bioinspired Robotics)
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Abstract

Many species rely on celestial cues as a reliable guide for maintaining heading while navigating. In this paper, we propose a method that extracts the Milky Way (MW) shape as an orientation cue in low-light scenarios. We also tested the method on both real and synthetic images and demonstrate that the performance of the method appears to be accurate and reliable to motion blur that might be caused by rotational vibration and stabilisation artefacts. The technique presented achieves an angular accuracy between a minimum of 0.00° and a maximum 0.08° for real night sky images, and between a minimum of 0.22° and a maximum 1.61° for synthetic images. The imaging of the MW is largely unaffected by blur. We speculate that the use of the MW as an orientation cue has evolved because, unlike individual stars, it is resilient to motion blur caused by locomotion.
Keywords: biomimetic; Milky Way; object detection; orientation; motion blur biomimetic; Milky Way; object detection; orientation; motion blur

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MDPI and ACS Style

Tao, Y.; Perera, A.; Teague, S.; McIntyre, T.; Warrant, E.; Chahl, J. Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion. Biomimetics 2024, 9, 375. https://doi.org/10.3390/biomimetics9070375

AMA Style

Tao Y, Perera A, Teague S, McIntyre T, Warrant E, Chahl J. Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion. Biomimetics. 2024; 9(7):375. https://doi.org/10.3390/biomimetics9070375

Chicago/Turabian Style

Tao, Yiting, Asanka Perera, Samuel Teague, Timothy McIntyre, Eric Warrant, and Javaan Chahl. 2024. "Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion" Biomimetics 9, no. 7: 375. https://doi.org/10.3390/biomimetics9070375

APA Style

Tao, Y., Perera, A., Teague, S., McIntyre, T., Warrant, E., & Chahl, J. (2024). Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion. Biomimetics, 9(7), 375. https://doi.org/10.3390/biomimetics9070375

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