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To reduce the cost of storing, processing, and visualizing a large-scale point cloud, we propose a randomized resampling strategy that selects a representative subset of points while preserving application-dependent features. The strategy is based on graphs, which can represent underlying surfaces and lend themselves well to efficient computation. We use a general feature-extraction operator to represent...
To reduce storage and computational cost for processing and visualizing large-scale 3D point clouds, an efficient resampling strategy is needed to select a representative subset of 3D points that can preserve contours in the original 3D point cloud. We tackle this problem by using graph-based techniques as graphs can represent underlying surfaces and lend themselves well to efficient computation....
Due to the problem that the forest growth simulation system has relatively fixed system architecture and difficulty in reconstruction, this paper presents a rapid reconfiguration platform of dynamic forest growth simulation system based on service component. The key technologies of the rapid reconfiguration platform such as the flowchart of reconfiguration, the design of service component and knowledge...
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