Fast, Reliable Head Tracking Under Varying Illumination

Abstract

An improved technique for 3D head tracking under varying illumination conditions is proposed. The head is modeled as a texture mapped cylinder. Tracking is formulated as an image registration problem in the cylinder's texture map image. To solve the registration problem in the presence of lighting variation and head motion, the residual error of registration is modeled as a linear combination of texture warping templates and orthogonal illumination templates. Fast and stable on-line tracking is then achieved via regularized, weighted least squares minimization of the registration error. The regularization term tends to limit potential ambiguities that arise in the warping and illumination templates. Tracking does not require a precise initial fit of the model; the system is initialized automatically using a simple 2D face detector. The only assumption is that the target is facing the camera in the first frame of the sequence. Experiments in the tracking are reported.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1999
Accession Number
ADA366995

Entities

People

  • Marco La Cascia
  • Stan Sclaroff

Organizations

  • Boston University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Ambiguity
  • Computations
  • Computer Science
  • Computer Vision
  • Detectors
  • Human-Machine Interaction
  • Illumination
  • Image Registration
  • Orientation (Direction)
  • Pattern Recognition
  • Recognition
  • Residuals
  • Sequences
  • Template Patterns
  • Three Dimensional
  • Video Frames

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Human-Computer Interaction (HCI).
  • Nanofabrication and Microfabrication.