Lightweight point cloud noise reduction method based on convolutional neural network and related equipment

The invention relates to a lightweight point cloud noise reduction method based on a convolutional neural network and a related device. The lightweight point cloud noise reduction method comprises the following steps of S1, performing shallow feature extraction; s2, carrying out deep feature extract...

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Bibliographische Detailangaben

Hauptverfasser:	ZHANG LING, XUE JIYING, DING SHAOZHI, MA YANQI, WANG HAO, YANG LEIGANG, WANG PENGCHENG, BAI XU
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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