Abstract
An important application of machine vision is to provide a means to monitor a scene over a period of time and report changes in the content of the scene. We have developed a validation mechanism that implements the first step towards a system for detecting changes in images of aerial scenes. Validation seeks to confirm of the presence of model objects in the image. Our system uses a 3-D site model of the scene as a basis for model validation, and eventually for detecting changes and to update the site model. The validation process is implemented in three steps: resection, fine registration of the image to the model by matching of model features to image features, and validation of the objects in the model. Our system, if necessary, is aided by shadows to help validate the model. The system has been tested using a hand-generated site model and several images of a 500:1 scale model of the site, acquired form several viewpoints.
This research was supported, in part, by the Advanced Research Projects Agency of the United States Department of Defense and was monitored by the U.S. Army Topographic Engineering Center under Contract No. DACA76–93-C-0014. Mathias Bejanin was a Visiting Researcher at USC, supported in part by Matra Cap Systemes of France.
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© 1995 Birkhäuser Verlag Basel
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Huertas, A., Bejanin, M., Nevatia, R. (1995). Model Registration and Validation. In: Gruen, A., Kuebler, O., Agouris, P. (eds) Automatic Extraction of Man-Made Objects from Aerial and Space Images. Monte Verità. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-9242-1_4
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DOI: https://doi.org/10.1007/978-3-0348-9242-1_4
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-0348-9958-1
Online ISBN: 978-3-0348-9242-1
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