Literature DB >> 7171643

Color vision and image intensities: when are changes material?

J M Rubin, W A Richards.   

Abstract

The difficulty in understanding a biological system or its components without some idea of its goals has been emphasized by Marr. In this paper, a preliminary goal for color vision is proposed and analyzed. That goal is to determine where changes of material occur in a scene (using only spectral information). The goal is challenging because the effects of many processes (shadowing, shading from surface orientation changes, highlights, variations in pigment density) are confounded with the effects of material changes in the available image intensities. We show there is a minimal and unique condition, the spectral crosspoint that rejects instances of these confounding processes. (If plots are made of image intensity versus wavelength from two image regions, and the plots intersect, we say that there is a spectral crosspoint.) An operator is designed to detect crosspoints; it turns out to resemble double-opponent cells described in primate visual cortex.

Mesh:

Year:  1982        PMID: 7171643     DOI: 10.1007/bf00336194

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  5 in total

1.  Color vision mechanisms in monkey striate cortex: simple cells with dual opponent-color receptive fields.

Authors:  C R Michael
Journal:  J Neurophysiol       Date:  1978-09       Impact factor: 2.714

2.  Calculating the reflectance map.

Authors:  B K Horn; R W Sjoberg
Journal:  Appl Opt       Date:  1979-06-01       Impact factor: 1.980

Review 3.  Color-coded cells in goldfish, cat, and rhesus monkey.

Authors:  N W Daw
Journal:  Invest Ophthalmol       Date:  1972-06

4.  Lightness and retinex theory.

Authors:  E H Land; J J McCann
Journal:  J Opt Soc Am       Date:  1971-01

5.  Theory of edge detection.

Authors:  D Marr; E Hildreth
Journal:  Proc R Soc Lond B Biol Sci       Date:  1980-02-29
  5 in total
  9 in total

Review 1.  Photoreceptor spectral sensitivities in terrestrial animals: adaptations for luminance and colour vision.

Authors:  D Osorio; M Vorobyev
Journal:  Proc Biol Sci       Date:  2005-09-07       Impact factor: 5.349

2.  Colour, contours, shading and shape: flow interactions reveal anchor neighbourhoods.

Authors:  Benjamin Kunsberg; Daniel Holtmann-Rice; Emma Alexander; Steven Cholewiak; Roland Fleming; Steven W Zucker
Journal:  Interface Focus       Date:  2018-06-15       Impact factor: 3.906

3.  Structural colours reflect individual quality: a meta-analysis.

Authors:  Thomas E White
Journal:  Biol Lett       Date:  2020-04-15       Impact factor: 3.703

4.  Texture variations suppress suprathreshold brightness and colour variations.

Authors:  Andrew J Schofield; Frederick A A Kingdom
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

5.  Triggerfish uses chromaticity and lightness for object segregation.

Authors:  Laurie Mitchell; Karen L Cheney; Fabio Cortesi; N Justin Marshall; Misha Vorobyev
Journal:  R Soc Open Sci       Date:  2017-12-20       Impact factor: 2.963

6.  Shadow-Based Vehicle Detection in Urban Traffic.

Authors:  Manuel Ibarra-Arenado; Tardi Tjahjadi; Juan Pérez-Oria; Sandra Robla-Gómez; Agustín Jiménez-Avello
Journal:  Sensors (Basel)       Date:  2017-04-27       Impact factor: 3.576

7.  Spatial Contrast Sensitivity to Polarization and Luminance in Octopus.

Authors:  Luis Nahmad-Rohen; Misha Vorobyev
Journal:  Front Physiol       Date:  2020-04-28       Impact factor: 4.566

8.  The Importance of Spatial Visual Scene Parameters in Predicting Optimal Cone Sensitivities in Routinely Trichromatic Frugivorous Old-World Primates.

Authors:  Tristan Matthews; Daniel Osorio; Andrea Cavallaro; Lars Chittka
Journal:  Front Comput Neurosci       Date:  2018-03-27       Impact factor: 2.380

9.  Color improves edge classification in human vision.

Authors:  Camille Breuil; Ben J Jennings; Simon Barthelmé; Nathalie Guyader; Frederick A A Kingdom
Journal:  PLoS Comput Biol       Date:  2019-10-18       Impact factor: 4.475

  9 in total

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