research-article

Depth from HDR: depth induction or increased realism?

Authors:

Rafat K. Mantiuk,

Bartosz Bazyluk,

Karol Myszkowski,

Radosław Mantiuk,

Hans-Peter SeidelAuthors Info & Claims

SAP '14: Proceedings of the ACM Symposium on Applied Perception

Pages 71 - 78

https://doi.org/10.1145/2628257.2628258

Published: 08 August 2014 Publication History

Abstract

Many people who first see a high dynamic range (HDR) display get the impression that it is a 3D display, even though it does not produce any binocular depth cues. Possible explanations of this effect include contrast-based depth induction and the increased realism due to the high brightness and contrast that makes an HDR display "like looking through a window". In this paper we test both of these hypotheses by comparing the HDR depth illusion to real binocular depth cues using a carefully calibrated HDR stereoscope. We confirm that contrast-based depth induction exists, but it is a vanishingly weak depth cue compared to binocular depth cues. We also demonstrate that for some observers, the increased contrast of HDR displays indeed increases the realism. However, it is highly observer-dependent whether reduced, physically correct, or exaggerated contrast is perceived as most realistic, even in the presence of the real-world reference scene. Similarly, observers differ in whether reduced, physically correct, or exaggerated stereo 3D is perceived as more realistic. To accommodate the binocular depth perception and realism concept of most observers, display technologies must offer both HDR contrast and stereo personalization.

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Cited By

Hibbard P(2023)Virtual Reality for Vision ScienceVirtual Reality in Behavioral Neuroscience: New Insights and Methods10.1007/7854_2023_416(131-159)Online publication date: 2-Feb-2023
https://doi.org/10.1007/7854_2023_416
Chen BPiovarči MWang CSeidel HDidyk PMyszkowski KSerrano A(2022)Gloss management for consistent reproduction of real and virtual objectsSIGGRAPH Asia 2022 Conference Papers10.1145/3550469.3555406(1-9)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3550469.3555406
Niu MLo C(2022)Do we see rendered surface materials differently in virtual reality? A psychophysics-based investigationVirtual Reality10.1007/s10055-021-00613-326:3(1031-1045)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10055-021-00613-3
Show More Cited By

Index Terms

Depth from HDR: depth induction or increased realism?
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
2. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Conferences

SAP '14: Proceedings of the ACM Symposium on Applied Perception

August 2014

137 pages

ISBN:9781450330091

DOI:10.1145/2628257

Conference Chairs:
Reynold Bailey
Rochester Institute of Technology
,
Scott Kuhl
Michigan Technological University
,
Program Chairs:
Betty Mohler
Max Planck Institute for Biological Cybernetics
,
Karan Singh
University of Toronto

Copyright © 2014 ACM.

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 the author(s) 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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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 August 2014

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SIGGRAPH

SAP '14: ACM Symposium on Applied Perception 2014

August 8 - 9, 2014

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 43 of 94 submissions, 46%

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Cited By

Hibbard P(2023)Virtual Reality for Vision ScienceVirtual Reality in Behavioral Neuroscience: New Insights and Methods10.1007/7854_2023_416(131-159)Online publication date: 2-Feb-2023
https://doi.org/10.1007/7854_2023_416
Chen BPiovarči MWang CSeidel HDidyk PMyszkowski KSerrano A(2022)Gloss management for consistent reproduction of real and virtual objectsSIGGRAPH Asia 2022 Conference Papers10.1145/3550469.3555406(1-9)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3550469.3555406
Niu MLo C(2022)Do we see rendered surface materials differently in virtual reality? A psychophysics-based investigationVirtual Reality10.1007/s10055-021-00613-326:3(1031-1045)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10055-021-00613-3
Zhong FJindal AYöntem AHanji PWatt SMantiuk R(2021)Reproducing reality with a high-dynamic-range multi-focal stereo displayACM Transactions on Graphics10.1145/3478513.348051340:6(1-14)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480513
Zhong FKoulieris GDrettakis GBanks MChambe MDurand FMantiuk R(2019)DiCEACM Transactions on Graphics10.1145/3355089.335655238:6(1-13)Online publication date: 8-Nov-2019
https://dl.acm.org/doi/10.1145/3355089.3356552
Zhong FKoulieris GDrettakis GBanks MChambe MDurand FMantiuk R(2019)DiCEACM SIGGRAPH 2019 Posters10.1145/3306214.3338578(1-2)Online publication date: 28-Jul-2019
https://dl.acm.org/doi/10.1145/3306214.3338578
Sharma MVenkatesh MRagavan GLal R(2019)A Novel Approach for Multi-View 3D HDR Content Generation via Depth Adaptive Cross Trilateral Tone Mapping2019 International Conference on 3D Immersion (IC3D)10.1109/IC3D48390.2019.8975988(1-8)Online publication date: Dec-2019
https://doi.org/10.1109/IC3D48390.2019.8975988
Wadaskar ASharma MLal R(2019)A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural Scenes2019 International Conference on 3D Immersion (IC3D)10.1109/IC3D48390.2019.8975903(1-8)Online publication date: Dec-2019
https://doi.org/10.1109/IC3D48390.2019.8975903
Havran VFilip JMyszkowski K(2016)Perceptually Motivated BRDF Comparison using Single ImageComputer Graphics Forum10.5555/3071773.307177535:4(1-12)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.5555/3071773.3071775
Havran VFilip JMyszkowski K(2016)Perceptually Motivated BRDF Comparison using Single ImageComputer Graphics Forum10.1111/cgf.1294435:4(1-12)Online publication date: 27-Jul-2016
https://doi.org/10.1111/cgf.12944

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