Evaluating lightness constancy in a high-definition VR environment

Khushbu Y. Patel, Laurie M. Wilcox, Laurence T. Maloney, Krista A. Ehinger, Suyash Singh, Richard F. Murray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As VR technology has advanced, its use in performance-critical fields such as medical training and vision research has grown, driving a need for increasingly realistic VR environments. In previous work [27], we evaluated lightness constancy in a task where viewers matched the reflectance of surfaces at different 3D orientations, and we found substantially poorer lightness constancy in VR than in a physical apparatus. Poor constancy in VR may have been due to simplified rendering of scenes in that study, e.g., largely achromatic Lambertian surfaces. Motivated by these findings, here we evaluated lightness constancy in more realistic VR scenes, rendered with a broad array of materials, colors, textures, and specular highlights, as well as more realistic shadows. We tested two conditions: a Full-Context condition, where these lighting and material cues were available, and a Reduced-Context condition, where they were not. Participants had significantly better lightness constancy in the Full-Context condition than in the Reduced-Context condition, indicating that they exploited these additional cues. However, lightness constancy was still quite poor in absolute terms, despite the availability of rich lighting and material cues. The reasons for this failure of constancy are unclear from previous literature, and this finding suggests a promising research problem with both fundamental interest and practical applications.

Original languageEnglish (US)
Title of host publicationFinal Program and Proceedings - IS and T/SID Color Imaging Conference
PublisherSociety for Imaging Science and Technology
Pages166-172
Number of pages7
Edition1
ISBN (Electronic)9780892083688
DOIs
StatePublished - 2024
Event32st Color and Imaging Conference - Color Science and Engineering Systems, Technologies, and Applications, CIC 2024 - Montreal, Canada
Duration: Oct 28 2024Nov 1 2024

Publication series

NameFinal Program and Proceedings - IS and T/SID Color Imaging Conference
Number1
Volume32
ISSN (Print)2166-9635
ISSN (Electronic)2169-2629

Conference

Conference32st Color and Imaging Conference - Color Science and Engineering Systems, Technologies, and Applications, CIC 2024
Country/TerritoryCanada
CityMontreal
Period10/28/2411/1/24

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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