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    • 3. 发明授权
    • Method and system for direct classification from three dimensional digital imaging
    • 从三维数字成像直接分类的方法和系统
    • US07046841B1
    • 2006-05-16
    • US10651666
    • 2003-08-29
    • James W. DowThomas CorbittRobert A. McLaughlin
    • James W. DowThomas CorbittRobert A. McLaughlin
    • G06K9/00
    • G06K9/00201G01C11/00G01S7/4802G01S17/89
    • An automated system and/or method is disclosed for rapidly, accurately, and efficiently processing bulk three-dimensional digital image data of both path/corridor and area scenes to discriminate different structures or classifications of objects from within the image. The method first decomposes the three-dimensional digital imagery coordinate points into simple local structures and then extracts the globally complex structures from the local structures. The system and/or method incorporates procedures for sub-dividing the three-dimensional image data into rectilinear and/or ellipsoidal finite element cells, mathematically analyzing the contents (point coordinates) of each individual cell to classify/define the local structure, and extracting the globally complex structure or object from the image. The system and/or method applies accepted mathematical formulas to filter or classify large volumes of apparently random three-dimensional point coordinate spatial data into simpler structures and then to extract more globally complex objects generally encountered within the real world imagery scene being investigated.
    • 公开了用于快速,准确和有效地处理路径/走廊和区域场景的批量三维数字图像数据的自动化系统和/或方法,以区分图像内的对象的不同结构或分类。 该方法首先将三维数字图像坐标点分解为简单的局部结构,然后从局部结构中提取全局复杂结构。 该系统和/或方法包括用于将三维图像数据分割为直线和/或椭圆形有限元单元的过程,以数学方式分析每个单独单元的内容(点坐标)以分类/定义局部结构,并提取 来自图像的全局复杂结构或对象。 系统和/或方法应用接受的数学公式将大量明显随机的三维点坐标空间数据过滤或分类为更简单的结构,然后提取在正在调查的真实世界图像场景中通常遇到的更全局复杂的对象。