Learning synthetic models for roof style classification using point clouds

Invention Grant

US10013507B2 Learning synthetic models for roof style classification using point clouds 有权

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Patent Title: Learning synthetic models for roof style classification using point clouds
Application No.: US14320167

Application Date: 2014-06-30
Publication No.: US10013507B2

Publication Date: 2018-07-03
Inventor: Xi Zhang , Xin Chen
Applicant: HERE Global B.V.
Applicant Address: NL Eindhoven
Assignee: HERE Global B.V.
Current Assignee: HERE Global B.V.
Current Assignee Address: NL Eindhoven
Agency: Alston & Bird LLP
Main IPC: G06F17/50
IPC: G06F17/50

Learning synthetic models for roof style classification using point clouds

Abstract:

Systems, apparatuses, and methods are provided for three-dimensional modeling of building roofs using three-dimensional point cloud data. Point cloud data of a roof of a building is received, and roof data points are selected or extracted from the point cloud data. Semantic type classifications are calculated for each selected roof data point. Roof styles are determined from the semantic type classifications, and a synthetic model of the roof and building is rendered based on the determined roof style.

Public/Granted literature

US20150006117A1 Learning Synthetic Models for Roof Style Classification Using Point Clouds Public/Granted day:2015-01-01

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