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The project's goal is to create a program that can reconstruct the surface of a point cloud mesh. This will build upon last year's project, which reconstructed the surface of a scalar field.
Reconstructing the surface of a point cloud is essential in many applications ranging from engineering to surveying and video games. Lidar is a common tool used to scan real-world objects and convert them into a point cloud. Lidar is used in robotics, engineering, and sometimes surveying, among many others. By reconstructing the surface, the objects can be better viewed and digitally represented to create more accurate models and simulations.
Initially, an algorithm to find the surface contours of the point cloud mesh will be implemented. Afterward, an algorithm will be programmed to convert the contours into a scalar field. This scalar field will then be run through the marching cubes algorithm created as last year’s project to get the final reconstructed surface.
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Proposal Review