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Constructing Illumination Image Basis from Object Motion

  • Akiko Nakashima
  • Atsuto Maki
  • Kazuhiro Fukui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2352)

Abstract

We propose to construct a 3D linear image basis which spans an image space of arbitrary illumination conditions, from images of a moving object observed under a static lighting condition. The key advance is to utilize the object motion which causes illumination variance on the object surface, rather than varying the lighting, and thereby simplifies the environment for acquiring the input images. Since we then need to re-align the pixels of the images so that the same view of the object can be seen, the correspondence between input images must be solved despite the illumination variance. In order to overcome the problem, we adapt the recently introduced geotensity constraint that accurately governs the relationship between four or more images of a moving object. Through experiments we demonstrate that equivalent 3D image basis is indeed computable and available for recognition or image rendering.

Keywords

Reference Frame Input Image Principle Component Analysis Motion Parameter Object Motion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Akiko Nakashima
    • 1
  • Atsuto Maki
    • 1
  • Kazuhiro Fukui
    • 1
  1. 1.Corporate Research and Development CenterTOSHIBA CorporationKawasakiJapan

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