Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Proceedings of the sixth ACM symposium on Solid modeling and applications
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SCG '01 Proceedings of the seventeenth annual symposium on Computational geometry
Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns
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Modern Differential Geometry of Curves and Surfaces with Mathematica
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Manifold reconstruction from point samples
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
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IEEE Transactions on Pattern Analysis and Machine Intelligence
An incremental algorithm for reconstruction of surfaces of arbitrary codimension
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IEEE Transactions on Computers
Geodesic entropic graphs for dimension and entropy estimation in manifold learning
IEEE Transactions on Signal Processing
Feature-Preserving Reconstruction of Singular Surfaces
Computer Graphics Forum
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Computers and Graphics
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We present an algorithm capable of reconstructing a non-manifold surface embedded as a point cloud in a high-dimensional space. Our algorithm extends a previously developed incremental method and produces a non-optimal triangulation, but will work for non-orientable surfaces, and for surfaces with certain types of self-intersection. The self-intersections must be ordinary double curves and are fitted locally by intersecting planes using a degenerate quadratic surface. We present the algorithm in detail and provide many examples, including a dataset describing molecular conformations of cyclo-octane.