Water front three-dimensional reconstruction apparatus and method based on multi-view point cloud registration

Abstract

The invention provides a water front three-dimensional reconstruction apparatus based on multi-view point cloud registration. The apparatus comprises a two-dimensional laser sensor, a rotation holder, a control platform and a data transmission unit. The two-dimensional laser sensor is fixed on the rotation holder, and the two-dimensional laser sensor rotates along with the rotation holder while performing single-line pointwise scanning; the data transmission unit is used for data transmission among the two-dimensional laser sensor, the rotation holder and the control platform; the control platform is used for outputting parameters of the two-dimensional laser sensor and rotation parameters of the rotation holder and carrying out water front three-dimensional reconstruction by use of acquisition data of the two-dimensional laser sensor. According to the invention, water front contour data is acquired by use of the rotation holder through combination with the two-dimensional laser sensor, by use of single-vision point cloud data of adjacent view points, point cloud envelope space is cut through space grids, by taking average curvature in each grid as a cluster standard, by use of a fuzzy c mean value cluster method, point clouds with similar attributes are extracted, registration and verification are performed, and thus the registration efficiency and the precision are improved.

Description

technical field [0001] The invention relates to the field of graphic modeling, in particular to a device and method for three-dimensional shoreline reconstruction based on multi-view point cloud registration. Background technique [0002] The 3D reconstruction of the coastline refers to obtaining the 3D structure information of the coastline by surveying and mapping and reconstructing the 3D model of the coastline to provide information support for resource planning and decision-making assistance. Commonly used surveying and mapping data collection methods include GPS surveying and mapping, aerial photography surveying and mapping, and laser surveying and mapping. It is difficult for GPS surveying and mapping to collect enough data points on the surface of complex objects, resulting in the inability to reconstruct the details of the scene. Aerial surveying and mapping is easily affected by bridges and windbreaks, causing blind spots in photography and affecting the accuracy...

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Problems solved by technology

However, this method randomly selects a subset of samples, resulting in a long time required to search for a subset of samples

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