Wednesday, July 5, 2017

Bee Brains Open Way for Better Cameras #Science #Photography #Optics #Neural

There are still many serious photographers out there who like screwing around with the settings on their cameras, using interchangeable lenses, and all that incredibly-expensive devilment of high-end photography.  Ladies and gentlemen, this one is for you and it's on the nature of the perception of accurate color.

New research into the way that honeybees see colour could pave the way for more accurate cameras in phones, drones and robots.

Identifying colour in complex outdoor environments is extremely difficult because the colour of light is continuously changing.

Researchers in Melbourne, Australia, looked to see how honeybees solve this problem and discovered a totally new mechanism for processing colour information.

The results of the work by academics at RMIT University, Monash University, University of Melbourne and Deakin University were published in the journal, Proceedings of the National Academy of Sciences of the United States of America (PNAS).

Science Daily:  Seeing the colored light: Bee brains open way for better cameras

That's an ok teaser but it's not doing much yet.  Plus we're not clear on the difference between new and totally new, good professors.  Tighten up on that, mates.

Now we get into some real content.

Dyer said: "For a digital system like a camera or a robot the colour of objects often changes. Currently this problem is dealt with by assuming the world is, on average, grey.

"This means it's difficult to identify the true colour of ripe fruit or mineral rich sands, limiting outdoor colour imaging solutions by drones, for example."

Bees have three extra eyes (ocelli) on the top of their head that look directly at the sky, and lead author Dr Jair Garcia (RMIT) and a multidisciplinary team discovered that the ocelli contain two colour receptors that are perfectly tuned for sensing the colour of ambient light.

Bees also have two main compound eyes that directly sense flower colours from the environment.

- SD

The ocelli present a light source which doesn't exist for sensing devices now since the robos may use one or more visual sources but they will operate only within the plane of the camera.  However, robo ocelli don't exist yet but would look above that plane as they do with bees.

Check out how the researchers discovered whether the ocelli even really matter.

Garcia said: "Physics suggests the ocelli sensing of the colour of light could allow a brain to discount the naturally coloured illumination which would otherwise confuse colour perception.

"But for this to be true the information from the ocelli would have to be integrated with colours seen by the compound eyes."

To test if this happened, Dr Yu-Shan Hung (University of Melbourne) mapped the neural tracings from ocelli and showed neural projection did indeed feed to the key colour processing areas of the bee brain.

Professor Andrew Greentree from the ARC Centre for Nanoscale BioPhotonics at RMIT said: "It is rare that physics, biology, neuro-anatomy and ecology all fit together, but here we have it."

- SD

Note 1:  they're observing neural network process in a bee ... in a tiny bee.

Note 2:  there's so much of this tiny scale mapping they have an entire Centre for Nanoscale BioPhotonics.

The system closely predicts previously observed behaviour of bees foraging in complex environments and provides a new solution for illuminations as diverse as natural forest light, sunlight, or shade.

Dyer said: "We're using bio-inspired solutions from nature to tackle key problems in visual perception. This discovery on colour constancy can be implemented into imaging systems to enable accurate colour interpretation."

Professor John Endler (Deakin University) said: "The discover provides a superb solution to a classic problem and makes colour constancy computationally inexpensive."

Rosa said: "The strength of this study lies in the combination of modelling, behavioural analysis and neuro-anatomy. It shows how modern, interdisciplinary neuroscience can point to an elegant solution to classical problems in vision."

- SD

The Rockhouse has lifted the text content from the source article but the interested student is still invited to pursue it for additional links, etc.

For some of you, the nature of perception is a fascination and the article does not go into any human visual processing which is analogous to that of the bee.  Presumably that means the bee's ability to accurately discern color is better than ours.  Moreover, integration of some type of ocelli sensors in robos to emulate that type of visual balancing means robos will have better color reception than ours as well.  There's not enough information in that context in the article to know if that's true so that's one more for the interested student.

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