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    • 5. 发明授权
    • Model-based object classification and target recognition
    • 基于模型的对象分类和目标识别
    • US08005261B2
    • 2011-08-23
    • US10488927
    • 2002-09-16
    • Henrik BaurHelmuth EggersLars KrügerRainer Ott
    • Henrik BaurHelmuth EggersLars KrügerRainer Ott
    • G06K9/00
    • G06K9/325
    • Method for at least one of model-based classification and target recognition of an object. The method includes recording an image of an inanimate object, determining a feature that represents a part of the inanimate object, determining at least one condition associated with the feature that indicates an applicability of the feature based on at least one of geometry of the object, distance of the object from a camera, illumination conditions, contrast, speed of the object, height of the object, and relative position of the object to a camera, and carrying out the at least one of classification and target recognition of the object by recording the feature when the at least one condition indicates the applicability of the feature. At least one of object classification and target recognition is carried out for a feature of the object that is visible and recordable according to the position of the object. The recording, the determining the feature, the determining the at least one condition, and the carrying out are implemented on a computer.
    • 用于对象的基于模型的分类和目标识别中的至少一个的方法。 该方法包括记录无生物对象的图像,确定表示无生物对象的一部分的特征,基于对象的几何形状确定指示特征的适用性的与特征相关联的至少一个条件, 物体与相机的距离,照明条件,对比度,物体的速度,物体的高度以及物体相对于相机的相对位置,以及通过记录来执行对象的分类和目标识别中的至少一个 当所述至少一个条件指示所述特征的适用性时的所述特征。 根据对象的位置,对于可见和可记录的对象的特征,执行对象分类和目标识别中的至少一个。 在计算机上实现记录,确定特征,确定至少一个条件和执行。