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25 October 2004 New distortion-invariant SVRDM hierarchical classifier
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Abstract
A hierarchical classifier using a new SVRDM (support vector representation and discrimination machine) is proposed for automatic target recognition. Shift and scale-invariant features are considered. In addition, we consider the ability of the classifier to reject non-object class or clutter inputs. Initial recognition and rejection test results on infra-red (IR) data are excellent.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David P. Casasent and Yu-Chiang Wang "New distortion-invariant SVRDM hierarchical classifier", Proc. SPIE 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (25 October 2004); https://doi.org/10.1117/12.593037
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