Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th 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
An implicit surface polygonizer
Graphics gems IV
Computational geometry in C
Automatic reconstruction of surfaces and scalar fields from 3D scans
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
A new Voronoi-based surface reconstruction algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Proceedings of the sixth ACM symposium on Solid modeling and applications
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Adaptive rest condition potentials: first and second order edge-preserving regularization
Computer Vision and Image Understanding
Tight cocone: a water-tight surface reconstructor
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Shape modeling with point-sampled geometry
ACM SIGGRAPH 2003 Papers
Multi-level partition of unity implicits
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
GA–SSD–ARC–NLM for parametric image registration
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
A Robust Iterative Closest Point Algorithm with Augmented Features
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Technical Section: Robust normal estimation for point clouds with sharp features
Computers and Graphics
One trilateral filter based on surface normal
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Learning of perceptual grouping for object segmentation on RGB-D data
Journal of Visual Communication and Image Representation
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Fastest three-dimensional (3D) surface reconstruction algorithms, from point clouds, require of the knowledge of the surface-normals. The accuracy, of state of the art methods, depends on the precision of estimated surface-normals. Surface-normals are estimated by assuming that the surface can be locally modelled by a plane as was proposed by Hoppe et. al [1]. Thus, current methods for estimating surface-normals are prone to introduce artifacts at the geometric edges or corners of the objects. In this paper an algorithm for Normal Estimation with Neighborhood Reorganization (NENR) is presented. Our proposal changes the characteristics of the neighborhood in places with corners or edges by assuming a locally plane piecewise surface. The results obtained by NENR improve the quality of the normal with respect to the state of the art algorithms. The new neighborhood computed by NENR, use only those points that belong to the same plane and they are the nearest neighbors. Experiments in synthetic and real data shown an improvement on the geometric edges of 3D reconstructed surfaces when our algorithm is used.