mlsanityData to 14 Oct 2026

Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera

arXiv 2504.10984 ↗First posted 15 Apr 2025cs.CVcited by 3

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Abstract (arXiv)

Cephalopods exhibit unique colour discrimination capabilities despite having one type of photoreceptor, relying instead on chromatic aberration induced by their ocular optics and pupil shapes to perceive spectral information. We took inspiration from this biological mechanism to design a spectral imaging system that combines a ball lens with an event-based camera. Our approach relies on a motorised system that shifts the focal position, mirroring the adaptive lens motion in cephalopods. This approach has enabled us to achieve wavelength-dependent focusing across the visible light and near-infrared spectrum, making the event a spectral sensor. We characterise chromatic aberration effects, using both event-based and conventional frame-based sensors, validating the effectiveness of bio-inspired spectral discrimination both in simulation and in a real setup as well as assessing the spectral discrimination performance. Our proposed approach provides a robust spectral sensing capability without conventional colour filters or computational demosaicing. This approach opens new pathways toward new spectral sensing systems inspired by nature's evolutionary solutions. Code and analysis are available at: https://samiarja.github.io/neuromorphic_octopus_eye/

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 3 of its 32 references that are in the map. First posted on arXiv 15 Apr 2025.

Builds on

3 of 32 references.

References · 3

  1. 2018A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimationcited by 178
  2. 2019Focus Is All You Need: Loss Functions For Event-based Visioncited by 83
  3. 2019CED: Color Event Camera Datasetcited by 37

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.