IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Piecewise smooth surface reconstruction
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Automatic reconstruction of B-spline surfaces of arbitrary topological type
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Feature sensitive surface extraction from volume data
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Proceedings of the conference on Visualization '01
Computing and Rendering Point Set Surfaces
IEEE Transactions on Visualization and Computer Graphics
Shape modeling with point-sampled geometry
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Robust moving least-squares fitting with sharp features
ACM SIGGRAPH 2005 Papers
Feature-Preserving Mesh Denoising via Bilateral Normal Filtering
CAD-CG '05 Proceedings of the Ninth International Conference on Computer Aided Design and Computer Graphics
An adaptive MLS surface for reconstruction with guarantees
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Poisson surface reconstruction
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
A robust hole-filling algorithm for triangular mesh
The Visual Computer: International Journal of Computer Graphics
Sharp Feature Detection in Point Clouds
SMI '10 Proceedings of the 2010 Shape Modeling International Conference
ℓ1-Sparse reconstruction of sharp point set surfaces
ACM Transactions on Graphics (TOG)
GlobFit: consistently fitting primitives by discovering global relations
ACM SIGGRAPH 2011 papers
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Scanners and other acquisition devices are commonly used to capture shapes of real objects as point clouds. Piecewise linear approximations of point clouds are then obtained by reconstruction algorithms. Generic reconstruction algorithms rely on assumptions like smoothness, uniform or dense sampling, etc. In general, they are unable to precisely regenerate salient features of the underlying model like edges and corners. We restrict our focus to engineered models that are formed by components having simple analytically defined shapes like planes, surfaces of revolution and extrusion. We employ a parameterization that allows linearization of constraints to recover these shapes. The regularity and relationships of the components are exploited to reconstruct the accurate shape with sharp edges from highly noisy point clouds.