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- W2519447945 abstract "This paper proposes a methodology for 3D ear recognition using spin images and removing false mapped features using geometric surface properties of 3D shapes. Many Feature detection techniques works well with different 3D objects for recognition but not well with ear data of similar shapes. Since, ear data of the different subjects varies with unique features but fundamentally of similar shape. Detected features belongs to flat region of test ear may match with the features belongs to flat region of target data with different co-ordinate position, leads to cross feature matching. Using geometrical surface properties and extended neighbourhood of detected feature points, cross matched features has been removed, which increased the recognition rate. The experimental results carried out with UND Ear database gives a promising results." @default.
- W2519447945 created "2016-09-23" @default.
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- W2519447945 date "2016-02-01" @default.
- W2519447945 modified "2023-09-26" @default.
- W2519447945 title "False mapped feature removal in spin images based 3D ear recognition" @default.
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- W2519447945 doi "https://doi.org/10.1109/spin.2016.7566771" @default.
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