Neural Meshes: Surface Reconstruction with a Learning Algorithm
نویسندگان
چکیده
In this paper we propose a Learning algorithm for surface reconstruction. Our algorithm simulates an incrementally expanding neural network which learns a point cloud through a competitive learning process. The topology is learned through statistics based operators which create boundaries and merge them to create handles. We study the algorithm theoretically, analyzing statistically its main components, and experimentally, using an extensive range of input data sets.
منابع مشابه
Neural Meshes: Statistical Learning Methods in Surface Reconstruction
We propose a new surface reconstruction algorithm based on an incrementally expanding neural network known as Growing Cell Structure. The neural network learns a probability space, which represents the surface for reconstruction, through a competitive learning process. The topology is learned through statistics based operations which create boundaries and merge them to create handles. We study ...
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