Illumination-Based Image Synthesis: Creating Novel Images of Human Faces Under Differing Pose and Lighting

Abstract

We present an illumination-based method for synthesizing images of an object under novel viewing conditions. Our method requires as few as three images of the object taken under variable illumination, but from a fixed viewpoint. Unlike multi-view based image synthesis, our method does not require the determination of point or line correspondences. Furthermore, our method is able to synthesize not simply novel view-points, but novel illumination conditions as well. We demonstrate the effectiveness of our approach by generating synthetic images of human faces.

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Document Details

Document Type
Technical Report
Publication Date
Jun 23, 1999
Accession Number
AD1015512

Entities

People

  • Athinodoros S. Georghiades
  • David J. Kriegman
  • Peter N. Belhumeur

Organizations

  • Yale University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Ambiguity
  • Brightness
  • Equations
  • Euler Equations
  • Geometry
  • Illumination
  • Intensity
  • Light Sources
  • Ray Tracing
  • Simulations
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.