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.
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© 2001 Springer Science+Business Media New York
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Stevens, M.R., Beveridge, J.R. (2001). Match: Comparing Images. In: Integrating Graphics and Vision for Object Recognition. The Springer International Series in Engineering and Computer Science, vol 589. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5524-4_4
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DOI: https://doi.org/10.1007/978-1-4757-5524-4_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4860-1
Online ISBN: 978-1-4757-5524-4
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