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Measuring the perception of light inconsistencies

Published: 23 July 2010 Publication History

Abstract

In this paper we explore the ability of the human visual system to detect inconsistencies in the illumination of objects in images. We specifically focus on objects being lit from different angles as the rest of the image. We present the results of three different tests, two with synthetic objects and a third one with digitally manipulated real images. Our results seem to agree with previous publications exploring the topic, but we extend them by providing quantifiable data which in turn suggest approximate perceptual thresholds. Given that light detection in single images is an ill-posed problem, these thresholds can provide valid error limits to related algorithms in different contexts, such as compositing or augmented reality.

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Cited By

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  • (2023)Estimating lighting direction in scenes with multiple objectsAttention, Perception, & Psychophysics10.3758/s13414-023-02718-086:1(186-212)Online publication date: 1-Aug-2023
  • (2021)Local Light Alignment for Multi‐Scale Shape DepictionComputer Graphics Forum10.1111/cgf.14265640:2(575-584)Online publication date: 4-Jun-2021
  • (2019)Can people detect errors in shadows and reflections?Attention, Perception, & Psychophysics10.3758/s13414-019-01773-w81:8(2917-2943)Online publication date: 28-Jun-2019
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cover image ACM Conferences
APGV '10: Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
July 2010
171 pages
ISBN:9781450302487
DOI:10.1145/1836248
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 July 2010

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Cited By

View all
  • (2023)Estimating lighting direction in scenes with multiple objectsAttention, Perception, & Psychophysics10.3758/s13414-023-02718-086:1(186-212)Online publication date: 1-Aug-2023
  • (2021)Local Light Alignment for Multi‐Scale Shape DepictionComputer Graphics Forum10.1111/cgf.14265640:2(575-584)Online publication date: 4-Jun-2021
  • (2019)Can people detect errors in shadows and reflections?Attention, Perception, & Psychophysics10.3758/s13414-019-01773-w81:8(2917-2943)Online publication date: 28-Jun-2019
  • (2019)Light ShapesACM Transactions on Applied Perception10.1145/323285116:1(1-17)Online publication date: 29-Jan-2019
  • (2018)Visual Light Zonesi-Perception10.1177/20416695187813819:3Online publication date: 27-Jun-2018
  • (2017)Interactive Relighting in Single Low-Dynamic Range ImagesACM Transactions on Graphics10.1145/3072959.303418536:4(1)Online publication date: 16-Jul-2017
  • (2017)Interactive Relighting in Single Low-Dynamic Range ImagesACM Transactions on Graphics10.1145/303418536:2(1-18)Online publication date: 7-Apr-2017
  • (2015)The Perception of Lighting Inconsistencies in Composite Outdoor ScenesACM Transactions on Applied Perception10.1145/281003812:4(1-18)Online publication date: 8-Sep-2015
  • (2015)Photorealistic rendering of mixed reality scenesComputer Graphics Forum10.1111/cgf.1259134:2(643-665)Online publication date: 1-May-2015
  • (2015)Interactive light source position estimation for augmented reality with an RGB‐D cameraComputer Animation and Virtual Worlds10.1002/cav.168628:1Online publication date: 8-Dec-2015
  • Show More Cited By

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