On Photometric Issues in 3D Visual Recognition from aSingle 2D Image

  • Authors:
  • Amnon Shashua

  • Affiliations:
  • The Hebrew University of Jerusalem, Institute for Computer Science, Jerusalem 91904, Israel E-mail: shashua@cs.huji.ac.il

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 1997

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Abstract

We describe the problem of recognition under changing illuminationconditions and changing viewing positions from a computationaland human vision perspective. On thecomputational side we focus on the mathematical problems of creatingan equivalence class for images of the same 3D object undergoingcertain groups of transformations—mostly those due to changingillumination, and briefly discuss those due to changing viewingpositions. The computational treatment culminates in proposing asimple scheme for recognizing, via alignment, an image of a familiar objecttaken from a novel viewing position and a novel illuminationcondition. On the human vision aspect, the paper is motivated byempirical evidence inspired by Mooney images of faces that suggest a relativelyhigh level of visual processing is involved in compensating forphotometric sources of variability, and furthermore, that certainlimitations on the admissible representations of image information mayexist. The psychophysical observations and the computational resultsthat follow agree in several important respects, such as the same (apparent)limitations on image representations.