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Range image feature extracting method based on wavelet lifting scheme

机译:基于小波提升方案的范围图像特征提取方法

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Laser radar camera can be used to measure 3D data of object surface, its output is called range image. Range images provide direct geometrical information about the shape of visible surfaces so that some problems in 3D object recognition and position should be solved more easily. Some range image feature extracting methods are too complex to control and consume a lot of time and space. In order to resolve these problems, this paper presents a multiresolution range image feature extracting method based on lifting scheme. This approach compute very fast and save spaces, so it is especially suitable for real-time applications such as pipeline bin-pick etc.
机译:激光雷达相机可用于测量物体表面的3D数据,其输出称为范围图像。范围图像提供关于可见表面形状的直接几何信息,以便更容易地解决3D对象识别和位置中的一些问题。一些范围图像特征提取方法太复杂,无法控制和消耗大量的时间和空间。为了解决这些问题,本文提出了一种基于提升方案的多分辨率范围图像特征提取方法。该方法计算非常快速并节省空格,因此它特别适用于管道宾馆等实时应用等。

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