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Measuring object surface shape and reflectance properties

  • Session S2A: Computer Vision & Virtual Reality
  • Conference paper
  • First Online:
Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1352))

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Abstract

An object model for computer graphics applications should contain two aspects of information: shape and reflectance properties of the object. A number of techniques have been developed for modeling object shapes by observing real objects. In contrast, attempts to model reflectance properties of real objects have been rather limited. In most cases, modeled reflectance properties are too simple or too complicated to be used for synthesizing realistic images of the object.

In this paper, we propose a new method for modeling object reflectance properties, as well as object shapes, by observing real objects. First, an object surface shape is reconstructed by merging multiple range images of the object. By using the reconstructed object shape and a sequence of color images of the object, parameters of a reflection model are estimated in a robust manner. The recovered object shape and reflectance properties are then used for synthesizing object images with realistic shading effects under arbitrary illumination conditions.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Electronics Institute of Industrial Science, The University of Tokyo, 106, Tokyo, Japan

    Yoichi Sato & Katsushi Ikeuchi

  2. Apple Computer Inc., 1 Infinite Loop, MS:301-3145, 95014, Cupertino, CA, USA

    Mark D. Wheeler

Authors
  1. Yoichi Sato
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  2. Mark D. Wheeler
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  3. Katsushi Ikeuchi
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Editor information

Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Sato, Y., Wheeler, M.D., Ikeuchi, K. (1997). Measuring object surface shape and reflectance properties. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_236

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  • DOI: https://doi.org/10.1007/3-540-63931-4_236

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63931-2

  • Online ISBN: 978-3-540-69670-4

  • eBook Packages: Springer Book Archive

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