[HTML][HTML] Hyperspectral imaging in color vision research: tutorial
This tutorial offers an introduction to terrestrial and close-range hyperspectral imaging and
some of its uses in human color vision research. The main types of hyperspectral cameras …
some of its uses in human color vision research. The main types of hyperspectral cameras …
Form vision from melanopsin in humans
Detection and discrimination of spatial patterns is thought to originate with photoreception by
rods and cones. Here, we investigated whether the inner-retinal photoreceptor melanopsin …
rods and cones. Here, we investigated whether the inner-retinal photoreceptor melanopsin …
Adversarial networks for spatial context-aware spectral image reconstruction from RGB
A Alvarez-Gila, J Van De Weijer… - Proceedings of the …, 2017 - openaccess.thecvf.com
Hyperspectral signal reconstruction aims at recovering the original spectral input that
produced a certain trichromatic (RGB) response from a capturing device or observer. Given …
produced a certain trichromatic (RGB) response from a capturing device or observer. Given …
[HTML][HTML] Spatial distributions of local illumination color in natural scenes
In natural complex environments, the elevation of the sun and the presence of occluding
objects and mutual reflections cause variations in the spectral composition of the local …
objects and mutual reflections cause variations in the spectral composition of the local …
The concept of symmetry and the theory of perception
Z Pizlo, JA De Barros - Frontiers in Computational Neuroscience, 2021 - frontiersin.org
Perceptual constancy refers to the fact that the perceived geometrical and physical
characteristics of objects remain constant despite transformations of the objects such as rigid …
characteristics of objects remain constant despite transformations of the objects such as rigid …
Hytexila: High resolution visible and near infrared hyperspectral texture images
We present a dataset of close range hyperspectral images of materials that span the visible
and near infrared spectrums: HyTexiLa (Hyperspectral Texture images acquired in …
and near infrared spectrums: HyTexiLa (Hyperspectral Texture images acquired in …
A physics-based deep learning approach to shadow invariant representations of hyperspectral images
L Windrim, R Ramakrishnan… - … on Image Processing, 2017 - ieeexplore.ieee.org
This paper proposes the Relit Spectral AngleStacked Autoencoder, a novel unsupervised
feature learning approach for mapping pixel reflectances to illumination invariant encodings …
feature learning approach for mapping pixel reflectances to illumination invariant encodings …
Quantifying the spatial, temporal, angular and spectral structure of effective daylight in perceptually meaningful ways
We present a method to capture the 7-dimensional light field structure, and translate it into
perceptually-relevant information. Our spectral cubic illumination method quantifies …
perceptually-relevant information. Our spectral cubic illumination method quantifies …
Beyond RGB: A Real World Dataset for Multispectral Imaging in Mobile Devices
Multispectral (MS) imaging systems have a wide range of applications for computer vision
and computational photography tasks, but do not yet enjoy widespread adoption due to their …
and computational photography tasks, but do not yet enjoy widespread adoption due to their …
Parallel nonnegative CP decomposition of dense tensors
The CP tensor decomposition is a low-rank approximation of a tensor. We present a
distributed-memory parallel algorithm and implementation of an alternating optimization …
distributed-memory parallel algorithm and implementation of an alternating optimization …