Match: Comparing Images

  • Mark R. Stevens
  • J. Ross Beveridge
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 589)

Abstract

After the rendering phase is complete, two images are available: the sensor image and the predicted image. The matching phase of Render-Match-Refine (RMR) is formulated in terms of the difference in pixel values between these two images. This difference or error indicates the quality of the set of scene parameters used to render the prediction. A low error indicates a good alignment of the objects to the imagery. A high error indicates an incorrect alignment. In this manner, the error measure provides insight into when one set of scene parameters provides a better explanation of the sensor image than another set.

Keywords

Feature Vector Error Function Object Recognition Sensor Image Edge Feature 
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 Science+Business Media New York 2001

Authors and Affiliations

  • Mark R. Stevens
    • 1
  • J. Ross Beveridge
    • 2
  1. 1.Worcester Polytechnic InstituteUSA
  2. 2.Colorado State UniversityUSA

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