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Environment maps and the perception of shape from mirror reflections

Published: 22 August 2013 Publication History

Abstract

Environment maps are commonly used in computer graphics to approximate the appearance of smoothly curved surfaces with mirror-like reflectance. Perceiving the shape of such surfaces is a challenging task for the visual system, however, because the image intensities are determined both by the surface shape and by the environment [Fleming et al. 2004]. Here we extend our recent study of the perception of qualitative shape of mirror surfaces [Faisman and Langer 2013] by examining more closely how qualitative shape perception varies with the environment maps that are used.

References

[1]
Faisman, A., and Langer, M. S. 2013. Qualitative shape from shading, highlights, and mirror reflections. Journal of Vision 13, 5.
[2]
Fleming, R. W., Torralba, A., and Adelson, E. H. 2004. Specular reflections and the perception of shape. Journal of Vision 4, 798--820.

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  1. Environment maps and the perception of shape from mirror reflections

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    cover image ACM Conferences
    SAP '13: Proceedings of the ACM Symposium on Applied Perception
    August 2013
    150 pages
    ISBN:9781450322621
    DOI:10.1145/2492494
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 August 2013

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    Author Tags

    1. environment maps
    2. lighting
    3. mirror
    4. perception
    5. shape

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    SAP' 13
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    SAP' 13: ACM Symposium on Applied Perception 2013
    August 22 - 23, 2013
    Dublin, Ireland

    Acceptance Rates

    SAP '13 Paper Acceptance Rate 22 of 54 submissions, 41%;
    Overall Acceptance Rate 43 of 94 submissions, 46%

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