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INVARIANT-BASED DIMENSIONAL REDUCTION OF OBJECT RECOGNITION FEATURES, SYSTEMS AND METHODS

机译:基于不变性的物体识别特征,系统和方法

摘要

A sensor data processing system and method is described. Contemplated systems and methods derive a first recognition trait of an object from a first data set that represents the object in a first environmental state. A second recognition trait of the object is then derived from a second data set that represents the object in a second environmental state. The sensor data processing systems and methods then identifies a mapping of elements of the first and second recognition traits in a new representation space. The mapping of elements satisfies a variance criterion for corresponding elements, which allows the mapping to be used for object recognition. The sensor data processing systems and methods described herein provide new object recognition techniques that are computationally efficient and can be performed in real-time by the mobile phone technology that is currently available.
机译:描述了一种传感器数据处理系统和方法。所设想的系统和方法从代表处于第一环境状态的物体的第一数据集得出物体的第一识别特征。然后,从代表第二环境状态下的物体的第二数据集得出物体的第二识别特征。然后,传感器数据处理系统和方法在新的表示空间中识别第一识别特征和第二识别特征的元素的映射。元素的映射满足相应元素的方差准则,这允许将该映射用于对象识别。本文所述的传感器数据处理系统和方法提供了新的对象识别技术,其计算效率高并且可以通过当前可用的移动电话技术实时执行。

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