Stochastic view registration of overlapping cameras based on arbitrary motion

IEEE Trans Image Process. 2007 Mar;16(3):710-20. doi: 10.1109/tip.2007.891158.

Abstract

A new motion-based method is presented for automatic registration of images in multicamera systems, to permit synthesis of wide-baseline composite views. Unlike existing static-image and motion-based methods, our approach does not need any a priori information about the scene, the appearance of objects in the scene, or their motion. We introduce an entropy-based preselection of motion histories and an iterative Bayesian assignment of corresponding image areas. Finally, correlated point-histories and data-set optimization lead to the matching of the different views. The method is validated by demonstrating its successful use on several real-life indoor and outdoor stereo video image-sequence pairs.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Computer Simulation
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods*
  • Models, Statistical
  • Motion
  • Pattern Recognition, Automated / methods*
  • Photogrammetry / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Stochastic Processes
  • Subtraction Technique*