Estimating changes in lighting direction in binocularly viewed three-dimensional scenes

Holly E. Gerhard, Laurence T. Maloney

Research output: Contribution to journalArticle

Abstract

We examine human ability to detect changes in scene lighting. Thirteen observers viewed three-dimensional rendered scenes stereoscopically. Each scene consisted of a randomly generated three-dimensional "Gaussian bump" surface rendered under a combination of collimated and diffuse light sources. During each trial, the collimated source underwent a small, quick change of position in one of four directions. The observer's task was to classify the direction of the lighting change. All observers were above chance in performing the task. We developed a model that combined two sources of information, a shape map and a shading map, to predict lighting change direction. We used this model to predict patterns of errors both across observers and across scenes differing in shape. We found that errors in estimating lighting direction were primarily the result of errors in representingsurface shape. We characterized the surface features that affected performance in the classification task.

Original languageEnglish (US)
Article number14
JournalJournal of Vision
Volume10
Issue number9
DOIs
StatePublished - 2010

Fingerprint

Lighting
Light
Direction compound

Keywords

  • 3D perception
  • Illumination perception
  • Shape perception

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

Cite this

Estimating changes in lighting direction in binocularly viewed three-dimensional scenes. / Gerhard, Holly E.; Maloney, Laurence T.

In: Journal of Vision, Vol. 10, No. 9, 14, 2010.

Research output: Contribution to journalArticle

@article{3535995c3fc94750af3b5cac2c9179ef,
title = "Estimating changes in lighting direction in binocularly viewed three-dimensional scenes",
abstract = "We examine human ability to detect changes in scene lighting. Thirteen observers viewed three-dimensional rendered scenes stereoscopically. Each scene consisted of a randomly generated three-dimensional {"}Gaussian bump{"} surface rendered under a combination of collimated and diffuse light sources. During each trial, the collimated source underwent a small, quick change of position in one of four directions. The observer's task was to classify the direction of the lighting change. All observers were above chance in performing the task. We developed a model that combined two sources of information, a shape map and a shading map, to predict lighting change direction. We used this model to predict patterns of errors both across observers and across scenes differing in shape. We found that errors in estimating lighting direction were primarily the result of errors in representingsurface shape. We characterized the surface features that affected performance in the classification task.",
keywords = "3D perception, Illumination perception, Shape perception",
author = "Gerhard, {Holly E.} and Maloney, {Laurence T.}",
year = "2010",
doi = "10.1167/10.9.14",
language = "English (US)",
volume = "10",
journal = "Journal of Vision",
issn = "1534-7362",
publisher = "Association for Research in Vision and Ophthalmology Inc.",
number = "9",

}

TY - JOUR

T1 - Estimating changes in lighting direction in binocularly viewed three-dimensional scenes

AU - Gerhard, Holly E.

AU - Maloney, Laurence T.

PY - 2010

Y1 - 2010

N2 - We examine human ability to detect changes in scene lighting. Thirteen observers viewed three-dimensional rendered scenes stereoscopically. Each scene consisted of a randomly generated three-dimensional "Gaussian bump" surface rendered under a combination of collimated and diffuse light sources. During each trial, the collimated source underwent a small, quick change of position in one of four directions. The observer's task was to classify the direction of the lighting change. All observers were above chance in performing the task. We developed a model that combined two sources of information, a shape map and a shading map, to predict lighting change direction. We used this model to predict patterns of errors both across observers and across scenes differing in shape. We found that errors in estimating lighting direction were primarily the result of errors in representingsurface shape. We characterized the surface features that affected performance in the classification task.

AB - We examine human ability to detect changes in scene lighting. Thirteen observers viewed three-dimensional rendered scenes stereoscopically. Each scene consisted of a randomly generated three-dimensional "Gaussian bump" surface rendered under a combination of collimated and diffuse light sources. During each trial, the collimated source underwent a small, quick change of position in one of four directions. The observer's task was to classify the direction of the lighting change. All observers were above chance in performing the task. We developed a model that combined two sources of information, a shape map and a shading map, to predict lighting change direction. We used this model to predict patterns of errors both across observers and across scenes differing in shape. We found that errors in estimating lighting direction were primarily the result of errors in representingsurface shape. We characterized the surface features that affected performance in the classification task.

KW - 3D perception

KW - Illumination perception

KW - Shape perception

UR - http://www.scopus.com/inward/record.url?scp=79952663900&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952663900&partnerID=8YFLogxK

U2 - 10.1167/10.9.14

DO - 10.1167/10.9.14

M3 - Article

C2 - 21106676

AN - SCOPUS:79952663900

VL - 10

JO - Journal of Vision

JF - Journal of Vision

SN - 1534-7362

IS - 9

M1 - 14

ER -