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Non-Rigid Registration for Large-Scale Space-Time 3D Point Cloud Alignment
Non-Rigid Registration for Large-Scale Space-Time 3D Point Cloud Alignment
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机译:大型时空3D点云对准的非刚性配准
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摘要
Point cloud data sets representing overlapping physical areas are received. Surface feature points are extracted from the point cloud data sets and coordinates are determined for each point of the point cloud data sets. The point cloud data sets are aligned based on matching surface feature points between the point cloud data sets. Matched surface feature points are moved toward the coordinates of corresponding matched surface feature points and the remaining points are moved based on the moved matched surface feature points and the determined coordinates for each point.
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