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Modeling of Pose Effects in Oriented Filter Responses for Head Pose Estimation

  • Ilkka Kalliomäki
  • Jouko Lampinen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

We propose an approach for view angle invariant recognition of 3D objects, based on modeling the variations of local feature values as function of view angle. In recognition stage we can compute the probabilities for any pixel that there is certain feature in a given pose angle. Any maximum likelihood or posterior based estimation methods can then be applied to infer the objects and their view parameters. We demonstrate the method with piecewise linear model for the pose effects, to recognize the location and pose of a head from the two eyes.

Keywords

Elevation Angle View Angle Joint Likelihood Piecewise Linear Model Recognition Stage 
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 2003

Authors and Affiliations

  • Ilkka Kalliomäki
    • 1
  • Jouko Lampinen
    • 1
  1. 1.Laboratory of Computational EngineeringHelsinki University of TechnologyHelsinki

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