发明名称 System and method for three-dimensional biometric data feature detection and recognition
摘要 The system includes a 3D feature detection module and 3D recognition module 202. The 3D feature detection module processes 3D surface map of a biometric object, wherein the 3D surface map includes a plurality of 3D coordinates. The 3D feature detection module determines whether one or more types of 3D features are present in the 3D surface map and generates 3D feature data including 3D coordinates and feature type for the detected features. The 3D recognition module compares the 3D feature data with biometric data sets for identified persons. The 3D recognition module determines a match between the 3D feature data and one of the biometric data sets when a confidence value exceeds a threshold.
申请公布号 US9141844(B2) 申请公布日期 2015.09.22
申请号 US201313783471 申请日期 2013.03.04
申请人 发明人 Yalla Veeraganesh;Boles Colby B.;Daley Raymond Charles;Fleming Robert Kyle
分类号 G06K9/00 主分类号 G06K9/00
代理机构 代理人 Smith Jessica W.
主权项 1. A method for three-dimensional (3D) feature detection, comprising: receiving a 3D surface map of at least a portion of a 3D object by a processing module, wherein the 3D surface map includes 3D coordinates and texture data for a plurality of points representing a 3D image of at least the portion of the 3D object; generating by the processing module one or more subsets of the 3D coordinates for the plurality of points of the 3D surface map; processing by the processing module one or more subsets of the 3D coordinates for the plurality of points of the 3D surface map to determine at least one predetermined 3D feature type; generating by the processing module 3D feature data for the predetermined 3D feature type, wherein the 3D feature data includes identification of the predetermined 3D feature type and 3D location data of the predetermined 3D feature type within the 3D surface map and wherein the 3D location data includes 3D coordinate; processing the 3D coordinates for the plurality of points in the subset for validation of the predetermined 3D feature type; and assigning a quality assessment value to the predetermined 3D feature type of the subset.
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