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

Yiting Tao, Asanka Perera, Samuel Teague, Timothy McIntyre, Eric Warrant, Javaan Chahl

Abstract read

In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

A Deep Learning Biomimetic Milky Way Compass.Biomimetics (Basel, Switzerland) · 2024
Article

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiting TaoSchool of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0002-2163-0496

Asanka PereraSchool of Engineering, University of Southern Queensland, Springfield, QLD 4300, Australia.ORCID 0000-0003-4021-3943

Samuel TeagueSchool of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0002-8845-3404

Timothy McIntyreSchool of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0002-9930-6784

Eric WarrantLund Vision Group, Department of Biology, University of Lund, SE-221 00 Lund, Sweden.ORCID 0000-0001-7480-7016

Javaan ChahlSchool of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0001-6496-0543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

biomimeticMilky Waymotion blurobject detectionorientation

Identifiers

PMID39056816

DOI10.3390/biomimetics9070375

PMCPMC11274678

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.