8 March 1982 Eliminating Nearest Neighbor Searches In Estimating Target Orientation
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Abstract
Frequently in image processing an unknown image is identified by matching features from the image to features of known images. One method of doing this is to compute a distance measure between the features of the two images. This measure indicates the dissimilarity between the images. This distance measure is computed for each of a large set of different known images. The process of exhaustively locating the known image with the minimum distance, and therefore the best match is called nearest neighbor matching.
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Brian Smithgall, "Eliminating Nearest Neighbor Searches In Estimating Target Orientation", Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); doi: 10.1117/12.932633; https://doi.org/10.1117/12.932633
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