Mutual Information-Based 3D Object Tracking

  • Authors:
  • Giorgio Panin;Alois Knoll

  • Affiliations:
  • Chair for Robotics and Embedded Systems, Technical University of Munich, Garching bei Muenchen, Germany 85748;Chair for Robotics and Embedded Systems, Technical University of Munich, Garching bei Muenchen, Germany 85748

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose a robust methodology for 3D model-based markerless tracking of textured objects in monocular image sequences. The technique is based on mutual information maximization, a widely known criterion for multi-modal image registration, and employs an efficient multiresolution strategy in order to achieve robustness while keeping fast computational time, thus achieving near real-time performance for visual tracking of complex textured surfaces.