A CRITICAL REVIEW OF THE EXPERIMENTAL FOUNDATION OF HUMAN COLOR PERCEPTION

Abstract

A presentation of the minimum material needed for a comprehensive study of normal human color perception. The artificial nature of colorimetry is discussed, with emphasis on the distinction between experimental facts established in the matching experiments and the formalism of colorimetry derived in part from these facts. A representative portion of the available experimental data on individual foveal spectral sensitivity is collected and analyzed. Data on the initial photoreception process and the anatomy, histology, morphology, ontogeny, and electrophysiology of the retinal neurons are analyzed, noting the multiplicity of results indicating a fundamental difference between receptor mechanisms in the rods and cones. A review of data on central neural mechanisms indicates a complex, dynamic role for the lateral geniculate nuclei in human color vision. Considerations of diverse psychophysiological phenomena are summarized. The general conclusion of the study is that the available experimental evidence does not clearly dictate the fundamental physiological processes mediating human color vision. Principal conclusions are discussed in relation to the three distinct fields of colorimetry, visual biophysics, and visual psychophysics. Four suggestions are given for psychophysical modeling.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1966
Accession Number
AD0630316

Entities

People

  • Joseph J. Sheppard Jr.

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Brain
  • Color Vision
  • Electromagnetic Radiation
  • Electrophysiological Phenomena
  • Geometry
  • Light Sources
  • Neural Pathways
  • Neurons
  • Optics
  • Physiological Processes
  • Psychology
  • Psychophysiology
  • Refraction
  • Refractive Index
  • Retina
  • Sensation
  • Visible Spectra

Readers

  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Biotechnology