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MODELING POINT CLOUD DATA USING HIERARCHIES OF GAUSSIAN MIXTURE MODELS
MODELING POINT CLOUD DATA USING HIERARCHIES OF GAUSSIAN MIXTURE MODELS
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机译:使用高斯混合模型的层次结构建模点云数据
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摘要
A method, computer readable medium, and system are disclosed for generating a Gaussian mixture model hierarchy. The method includes the steps of receiving point cloud data defining a plurality of points; defining a Gaussian Mixture Model (GMM) hierarchy that includes a number of mixels, each mixel encoding parameters for a probabilistic occupancy map; and adjusting the parameters for one or more probabilistic occupancy maps based on the point cloud data utilizing a number of iterations of an Expectation-Maximum (EM) algorithm.
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