Normal vector voting: crease detection and curvature estimation on large, noisy meshes
Graphical Models - Special issue: Processing on large polygonal meshes
Direct Segmentation for Reverse Engineering
CW '02 Proceedings of the First International Symposium on Cyber Worlds (CW'02)
Estimating the tensor of curvature of a surface from a polyhedral approximation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Verification of Scanned Engineering Parts with CAD Models Based on Discrete Curvature Estimation
SMI '04 Proceedings of the Shape Modeling International 2004
Normal Based Estimation of the Curvature Tensor for Triangular Meshes
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
A Sampling Framework for Accurate Curvature Estimation in Discrete Surfaces
IEEE Transactions on Visualization and Computer Graphics
Bilateral Recovering of Sharp Edges on Feature-Insensitive Sampled Meshes
IEEE Transactions on Visualization and Computer Graphics
Detection of closed sharp edges in point clouds using normal estimation and graph theory
Computer-Aided Design
Identification of C1 and C2 discontinuities for surface meshes in CAD
Computer-Aided Design
Automatic recognition of features from freeform surface CAD models
Computer-Aided Design
Automatic segmentation of unorganized noisy point clouds based on the Gaussian map
Computer-Aided Design
Surface mesh segmentation and smooth surface extraction through region growing
Computer Aided Geometric Design
Curvature estimation scheme for triangle meshes using biquadratic Bézier patches
Computer-Aided Design
Incremental reconstruction of sharp edges on mesh surfaces
Computer-Aided Design
A new CAD mesh segmentation method, based on curvature tensor analysis
Computer-Aided Design
A survey of point-based techniques in computer graphics
Computers and Graphics
Parallel feature-preserving mesh smoothing
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
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The identification of C^1 continuities is important in many applications involving point clouds or triangular meshes, such as surface segmentation, inspection and rendering. The methods in literature have some limitations which make them strongly dependent on some properties of the mesh (point typology, mesh resolution, uniformity of the shape of triangles and error in point location). Furthermore, some of them do not discriminate non-regular points from those that are inside a band around them. In this work, a new method for automatic detection of C^1 continuities in triangular meshes is presented. The method introduces an original function, called sharpness indicator, which enables us to evaluate properties related to surface smoothness. The performance of the new method is compared with that of four methods presented in literature as regards the recognition of C^1 continuities both in synthetic and real meshes. Results are analysed and critically discussed.