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Spatial layout and surface reconstruction from omnidirectional images
(Institute of Electrical and Electronics Engineers Inc., 2016-01-01)
This paper presents a spatial layout recovery approach from single omnidirectional images. Vertical structures in the scene are extracted via classification from heterogeneous features computed at the superpixel level. ...
Spatial layout and surface reconstruction from omnidirectional images
(Institute of Electrical and Electronics Engineers Inc., 2016-01-01)
This paper presents a spatial layout recovery approach from single omnidirectional images. Vertical structures in the scene are extracted via classification from heterogeneous features computed at the superpixel level. ...
Geodesic-based manifold learning for parameterization of triangular meshes
(Springer-Verlag France, 2016-11-01)
Reverse Engineering (RE) requires representing with free forms (NURBS, Spline, B,zier) a real surface which has been point-sampled. To serve this purpose, we have implemented an algorithm that minimizes the accumulated ...
Geodesic-based manifold learning for parameterization of triangular meshes
(Springer-Verlag France, 2016-11-01)
Reverse Engineering (RE) requires representing with free forms (NURBS, Spline, B,zier) a real surface which has been point-sampled. To serve this purpose, we have implemented an algorithm that minimizes the accumulated ...
Principal component and Voronoi skeleton alternatives for curve reconstruction from noisy point sets
(Taylor & Francis, 2007-10)
Surface reconstruction from noisy point samples must take into consideration the stochastic nature of the sample -- In other words, geometric algorithms reconstructing the surface or curve should not insist in following ...
Parametric Curve Reconstruction from Point Clouds using Minimization Techniques
(SCITEPRESS, 2013)
Smooth (C1-, C2-,...) curve reconstruction from noisy point samples is central to reverse engineering, medical imaging, etc -- Unresolved issues in this problem are (1) high computational expenses, (2) presence of artifacts ...
Sensitivity analysis of optimized curve fitting to uniform-noise point samples
(2012-05)
Curve reconstruction from noisy point samples is needed for surface reconstruction in many applications (e.g. medical imaging, reverse engineering,etc.) -- Because of the sampling noise, curve reconstruction is conducted ...
Parametric curve reconstruction from point clouds using minimization techniques
(2013-01-01)
Curve reconstruction from noisy point samples is central to surface reconstruction and therefore to reverse engineering, medical imaging, etc. Although Piecewise Linear (PL) curve reconstruction plays an important role, ...
Parametric curve reconstruction from point clouds using minimization techniques
(2013-01-01)
Curve reconstruction from noisy point samples is central to surface reconstruction and therefore to reverse engineering, medical imaging, etc. Although Piecewise Linear (PL) curve reconstruction plays an important role, ...
Principal component and Voronoi skeleton alternatives for curve reconstruction from noisy point sets
(Taylor and Francis Ltd., 2007-01-01)
Surface reconstruction from noisy point samples must take into consideration the stochastic nature of the sample. In other words, geometric algorithms reconstructing the surface or curve should not insist on matching each ...