SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Multidimensional binary search trees used for associative searching
Communications of the ACM
Genetic Algorithms and Machine Learning
Machine Learning
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Image and Vision Computing
Poisson surface reconstruction
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Extending Hough Transform to a Points' Cloud for 3D-Face Nose-Tip Detection
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
On fast surface reconstruction methods for large and noisy point clouds
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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Reconstruction of 3D laser scanned point clouds may generate a mesh characterized by a high number of triangles. Unfortunately, in Computer Aided Design environments neither a simple triangle reduction, nor decimation filters are feasible for mesh optimization, because of their intrinsic errors. In this paper we show how Genocop III can be effectively used to reconstruct a point cloud bounding the error under a certain threshold. Moreover, we define an optimized algorithm for evaluating the reconstruction error, that exploits AABB-trees and pre-computation and provides a useful metric to the genetic algorithm.