AIMC Topic: Color Vision

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Deep learning to enable color vision in the dark.

PloS one Apr 6, 2022
Humans perceive light in the visible spectrum (400-700 nm). Some night vision systems use infrared light that is not perceptible to humans and the images rendered are transposed to a digital display presenting a monochromatic image in the visible spe...
Humans Neural Networks, Computer Infrared Rays Color Vision Algorithms Deep Learning
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The Camouflage Machine: Optimizing protective coloration using deep learning with genetic algorithms.

Evolution; international journal of organic evolution Jan 18, 2021
Evolutionary biologists frequently wish to measure the fitness of alternative phenotypes using behavioral experiments. However, many phenotypes are complex. One example is coloration: camouflage aims to make detection harder, while conspicuous signal...
Female Animals Humans Algorithms Color Vision Models, Biological Visual Perception Biological Evolution Deep Learning Biological Mimicry Male Color
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Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video.

Sensors (Basel, Switzerland) Sep 12, 2020
The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this....
Pneumonia, Viral Smart Glasses Betacoronavirus Physical Distancing Persons with Visual Disabilities Sensory Aids Color Vision Germany Blindness Semantics Female Robotics SARS-CoV-2 COVID-19 Equipment Design Adult Humans Algorithms Coronavirus Infections Male Artificial Intelligence Computer Systems Acoustics Pandemics Image Processing, Computer-Assisted Wearable Electronic Devices
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The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns.

Neural networks : the official journal of the International Neural Network Society Oct 11, 2019
The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation time, highly meaningful changes across images in medical time series a...
Image Interpretation, Computer-Assisted Retinal Ganglion Cells Models, Neurological Animals Contrast Sensitivity Deep Learning Color Vision
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Color encoding in biologically-inspired convolutional neural networks.

Vision research May 11, 2018
Convolutional Neural Networks have been proposed as suitable frameworks to model biological vision. Some of these artificial networks showed representational properties that rival primate performances in object recognition. In this paper we explore h...
Color Perception Neural Networks, Computer Color Vision Models, Biological Humans
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