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Point cloud segmentation method, computer program and computer equipment

机译:点云分割方法,计算机程序和计算机设备

摘要

The present invention provides a point cloud segmentation method, computer-readable storage medium and computer equipment.The above methodEncodes the point cloud to be processed.Obtaining a shared feature (S202);The shared feature isFeatures shared at the semantic level and the instance levelStep (S202) andDecoding the shared features in different decoding schemesObtaining semantic features and instance features (S204) andAfter the semantic feature is adapted to an instance feature space, it is fused with the instance feature;A semantic fusion instance characteristic of the point cloud is obtained (S206);The semantic fusion instance feature isRepresenting instance features fused with semantic featuresStep (S206) andSplit into semantic fusion instance features of the point cloudObtaining a semantic fusion instance feature for each point in the point cloud (S208);Based on the semantic fusion instance feature of each pointDetermining the instance category to which each point belongs belongs (S210);.The method improves the efficiency of point cloud segmentation.
机译:本发明提供了一种点云分段方法,计算机可读存储介质和计算机设备。上述方法要处理的点云。为共享功能(S202);共享功能ISFeatures在语义级别和实例级别(S202)anddecoded在不同解码模式中的共享功能,语义特征和实例特征(S204)和解语义功能适用于实例特征空间,它与实例功能融合;获得点云的语义融合实例特征(S206);语义融合实例具有ISREPRUSENTING实例功能与语义FeaturessTep(S206)融合的功能(S206)和模拟Cloudobtinapting Point Cloud中每个点的语义融合实例特征的语义融合实例特征(S208);基于语义融合每个指示每个点属于belon的实例类别的实例功能GS(S210);该方法提高了点云分割的效率。

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