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    • 54. 发明申请
    • METHODOLOGY FOR DATA STRUCTURE CHARACTERIZATION, INDEXING, STORAGE AND RETRIEVAL
    • 数据结构表征,索引,存储和检索的方法
    • WO2003001439A1
    • 2003-01-03
    • PCT/US2001/019759
    • 2001-06-21
    • THE BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASKA
    • ZHU, Qiuming
    • G06K9/32
    • G06K9/525G06F17/30256
    • Disclosed is a method for enabling easy characterization, storage and retrieval of multi-dimensional data structures involving use of a translation, rotation and scaling invariant index (A) which results from concatenating a series of Eigenvalue calculation mediated index elements determined at a plurality of hierarchical data depth levels by characterizing spatial first and second central moment calculations (B), optionally including pre-selection of pixels in data structures which demonstrate significant intensity and/or color gradients with respect to surrounding pixels (C). Preferred characterizing vector(s) consist of typically orthogonally specific frequency integer counts of pre-selected pixels, as well as spatial data structure first central moment value(s), and non-degenerate parameter(s) determined from Eigenvalues derived from second central moments.
    • 公开了一种使得能够容易地表征,存储和检索涉及使用翻译,旋转和缩放不变索引(A)的多维数据结构的方法,其由连接在多个层级上确定的一系列特征值计算介导的索引元素而产生 通过表征空间第一和第二中心矩计算(B)的数据深度级别,可选地包括对围绕像素(C)示出显着的强度和/或颜色梯度的数据结构中的像素的预先选择。 优选的特征向量由预选像素的典型的正交特定频率整数计数以及空间数据结构第一中心矩值和从第二中心矩导出的特征值确定的非简并参数组成 。