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What is the Set of Images of an Object Under All Possible Lighting Conditions (1996)

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by Peter N. Belhumeur , David J. Kriegmant
Venue:IEEE CVPR
Citations:389 - 25 self
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BibTeX

@ARTICLE{Belhumeur96whatis,
    author = {Peter N. Belhumeur and David J. Kriegmant},
    title = {What is the Set of Images of an Object Under All Possible Lighting Conditions},
    journal = {IEEE CVPR},
    year = {1996},
    pages = {270--277}
}

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Abstract

The appearance of a particular object depends on both the viewpoint from which it is observed and the light sources by which it is illuminated. If the appearance of two objects is never identical for any pose or lighting conditions, then- in theory- the objects can always be distinguished or recognized. The question arises: What is the set of images of an object under all lighting conditions and pose? In this paper, ive consider only the set of images of an object under variable allumination (including multiple, extended light sources and attached shadows). We prove that the set of n-pixel images of a convex object with a Lambertian reflectance function, illuminated by an arbitrary number of point light sources at infinity, forms a convex polyhedral cone in IR " and that the dimension of this illumination cone equals the number of distinct surface normals. Furthermore, we show that the cone for a particular object can be constructed from three properly chosen images. Finally, we prove that the set of n-pixel images of an object of any shape and with an arbitrary reflectance function, seen under all possi-ble illumination conditions, still forms a convex cone in Rn. Th.ese results immediately suggest certain approaches to object recognition. Throughout this paper, we ofler results demonstrating the empirical validity of the illumination cone representation. 1

Keyphrases

possible lighting condition    lighting condition    light source    n-pixel image    particular object    convex cone    convex polyhedral cone    empirical validity    distinct surface normal    arbitrary number    possi-ble illumination condition    ese result    ive consider    illumination cone    arbitrary reflectance function    convex object    variable allumination    certain approach    lambertian reflectance function    point light source    illumination cone representation    attached shadow   

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