articleIEEE Transactions on Pattern Analysis and Machine IntelligenceSep 1, 2003Closed access

Face recognition based on fitting a 3D morphable model

VBVolker BlanzTVThomas Vetter

Max Planck Institute for Informatics · University of Basel

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Abstract

This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a wide range of illuminations, including cast shadows and specular reflections. To account for these variations, the algorithm simulates the process of image formation in 3D space, using computer graphics, and it estimates 3D shape and texture of faces from single images. The estimate is achieved by fitting a statistical, morphable model of 3D faces to images. The model is learned from a set of textured 3D scans of heads. We describe the construction of the morphable model, an algorithm to fit the model to images, and a framework for face identification. In this framework, faces are…

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Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Computer science
  • Computer vision
  • Face (sociological concept)
  • Facial recognition system
  • Pattern recognition (psychology)
  • Solid modeling
  • Computer graphics
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