Zhao et al., 2013 - Google Patents
Fourier–Bessel rotational invariant eigenimagesZhao et al., 2013
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- 1984539045256803950
- Author
- Zhao Z
- Singer A
- Publication year
- Publication venue
- Journal of the Optical Society of America A
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We present an efficient and accurate algorithm for principal component analysis (PCA) of a large set of two-<? A3B2 show [pmg: line-break justify=" yes"/]?> dimensional images and, for each image, the set of its uniform rotations in the plane and its reflection. The<? A3B2 …
- 238000000513 principal component analysis 0 abstract description 66
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- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G—PHYSICS
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