发明名称 |
Feature detection in numeric data |
摘要 |
A method (10) for detecting features in digital numeric data comprises obtaining (11) digital numeric data comprising values corresponding to a plurality of sampling points over a domain space having at least one dimension, computing (13) a plurality of scale-space data comprising filtering said digital numeric data using a filter bank, determining (15) a plurality of feature regions each corresponding to a local extremum in scale and location of the scale-space data; and determining (17) a feature region descriptor for each of said plurality of feature regions. The filter bank is a Cosine Modulated Gaussian filter bank in which the standard deviation parameter of the Gaussian equals 1 À �¢ ln 2 2 2 b + 1 2 b - 1 multiplied by the cosine wavelength, in which b is in the range of 0.75 to 1.25, or said filter bank is an N th -order Gaussian Derivative filter bank with N being in the range of 5 to 20. |
申请公布号 |
EP2677464(A3) |
申请公布日期 |
2014.10.22 |
申请号 |
EP20130168131 |
申请日期 |
2013.05.16 |
申请人 |
IMEC;KATHOLIEKE UNIVERSITEIT LEUVEN |
发明人 |
MAINALI, PRADIP;LAFRUIT, GAUTHIER |
分类号 |
G06K9/46;G06F17/30;G06K9/00;G06K9/62;G06T7/40 |
主分类号 |
G06K9/46 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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