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Rapid point cloud alignment and classification with basis set learning

專利號(hào)
US11176693B1
公開日期
2021-11-16
申請(qǐng)人
Amazon Technologies, Inc.(US WA Seattle)
發(fā)明人
Javier Romero Gonzalez-Nicolas; Sergey Prokudin; Christoph Lassner
IPC分類
G06T7/50; G06T17/00; G06K9/62
技術(shù)領(lǐng)域
cloud,data,point,may,mesh,points,basis,or,e.g,generate
地域: WA WA Seattle

摘要

A system configured to process an input point cloud, which represents an object using unstructured data points, to generate a feature vector that has an ordered structure and a fixed length. The system may process the input point cloud using a basis point set to generate the feature vector. For example, for each basis point in the basis point set, the system may identify a closest data point in the point cloud data and store a distance value or other information associated with the closest data point in the feature vector. The system may process the feature vector using a trained model to generate output data, such as performing point cloud registration to generate mesh data, point cloud classification to generate classification data, and/or the like.

說明書

As will be described in greater detail below, the system 100 may process the point cloud 114 to generate the structured data, which is illustrated in FIG. 1 as distance data 116. For example, the device 110 may send the point cloud 114 to the remote system 120 via the network(s) 10 and the remote system 120 may process the point cloud 114 to generate the distance data 116, as described in greater detail below with regard to FIGS. 2A-2C. However, while FIG. 1 illustrates the device 110 sending the point cloud 114 to the remote system 120 and the remote system 120 processing the point cloud 114 to generate the distance data 116, the disclosure is not limited thereto. Instead, the device 110 may process the point cloud 114 locally to generate the distance data 116 and may process the distance data 116 locally and/or optionally send the distance data 116 to the remote system 120 without departing from the disclosure.

As the distance data 116 corresponds to structured data (e.g., has an ordered structure with k data points), it may be ingested by a trained model for further processing. For example, the device 110 and/or the remote system 120 may process the distance data 116 using a trained model to generate output data.

權(quán)利要求

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