Abstract
Automatic recognition of objects independent of size, orientation, position in the field of view, and color is a difficult and important problem in computer vision, image analysis, and automatic target recognition fields. A direct approach to this problem is by use of a large library of target signatures at all potential positions, viewing angles, spectral bands, and contrast conditions that can lead to a combinatorial explosion of models to be considered. Another approach is by development of composite template filters by means of which potential viewing instances of a target under differing size, orientation, spectral, and contrast variations are used to create a single composite template filter that is then used for detection and classification of that target.
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Sadjadi, F. (2007). Theory of Invariant Algebra and Its Use in Automatic Target Recognition. In: Sadjadi, F., Javidi, B. (eds) Physics of Automatic Target Recognition. Advanced Sciences and Technologies for Security Applications, vol 3. Springer, New York, NY. https://doi.org/10.1007/978-0-387-36943-3_2
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DOI: https://doi.org/10.1007/978-0-387-36943-3_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-36742-2
Online ISBN: 978-0-387-36943-3
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