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    • 2. 发明授权
    • Three-dimensional object recognizing system
    • 三维物体识别系统
    • US07545975B2
    • 2009-06-09
    • US11139801
    • 2005-05-31
    • Katsuyuki Kise
    • Katsuyuki Kise
    • G06K9/00
    • G06K9/00201
    • A three-dimensional object recognizing system comprises a distance image generating portion for generating a distance image by using image pairs picked up by a stereoscopic camera, a grouping processing portion for grouping the distance data indicating the same three-dimensional object on the distance image, an input value setting portion for setting an area containing distance data group of grouped three-dimensional object on the distance image and also setting input values having typical distance data as elements every small area that is obtained by dividing the area by a set number of partition, a computing portion for computing output values having a pattern that responds to a previously set three-dimensional object by using a neural network that has at least the input values Xin as inputs to an input layer, and a discriminating portion for discriminating the type of the three-dimensional object based on the pattern of the output values.
    • 三维物体识别系统包括:距离图像生成部分,用于通过使用由立体相机拾取的图像对来生成距离图像;分组处理部分,用于对在距离图像上指示相同的三维物体的距离数据进行分组; 输入值设定部,用于在距离图像上设定包含分组的三维物体的距离数据组的区域,并且将具有典型距离数据的输入值设置为通过将该区域除以设定数量的分区获得的每个小区域的元素 计算部分,用于通过使用至少具有输入值Xin作为输入值的输入值的神经网络来计算具有响应于先前设定的三维物体的图案的输出值;以及鉴别部分,用于鉴别所述三维物体的类型 基于输出值的模式的三维对象。
    • 4. 发明申请
    • Three-dimensional object recognizing system
    • 三维物体识别系统
    • US20050264557A1
    • 2005-12-01
    • US11139801
    • 2005-05-31
    • Katsuyuki Kise
    • Katsuyuki Kise
    • G06T1/00G06K9/00G06N3/08G06T7/00G06T15/00
    • G06K9/00201
    • A three-dimensional object recognizing system comprises a distance image generating portion for generating a distance image by using image pairs picked up by a stereoscopic camera, a grouping processing portion for grouping the distance data indicating the same three-dimensional object on the distance image, an input value setting portion for setting an area containing distance data group of grouped three-dimensional object on the distance image and also setting input values having typical distance data as elements every small area that is obtained by dividing the area by a set number of partition, a computing portion for computing output values having a pattern that responds to a previously set three-dimensional object by using a neural network that has at least the input values Xin as inputs to an input layer, and a discriminating portion for discriminating the type of the three-dimensional object based on the pattern of the output values.
    • 三维物体识别系统包括:距离图像生成部分,用于通过使用由立体相机拾取的图像对来生成距离图像;分组处理部分,用于对在距离图像上指示相同的三维物体的距离数据进行分组; 输入值设定部,用于在距离图像上设定包含分组的三维物体的距离数据组的区域,并且将具有典型距离数据的输入值设置为通过将该区域除以设定数量的分区获得的每个小区域的元素 计算部分,用于通过使用至少具有输入值Xin作为输入值的输入值的神经网络来计算具有响应于先前设定的三维物体的图案的输出值;以及鉴别部分,用于鉴别所述三维物体的类型 基于输出值的模式的三维对象。