Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Control of polygonal mesh resolution for 3-D computer vision
Graphical Models and Image Processing
Multiresolution feature extraction for unstructured meshes
Proceedings of the conference on Visualization '01
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A Formulation of Boundary Mesh Segmentation
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
An efficient and robust algorithm for 3D mesh segmentation
Multimedia Tools and Applications
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Three-dimensional object analysis is of particular interest in many research fields. In this context, the most common data representation is boundary mesh, namely, 2D surface embedded in 3D space. We will investigate the problem of 3D edge extraction, that is, salient surface regions characterized by high flexure. Our automatic edge detection method assigns a value, proportional to the local bending of the surface, to the elements of the mesh. Moreover, a proper scanning window, centered on each element, is used to discriminate between smooth zones of the surface and its edges. The algorithm does not require input parameters and returns a set of elements that represent the salient features on the model surface. This method is general enough, returns representative structures of the object, as edges, and can be considered as a pre-processing step for further applications, such as 3D compact representation, matching and recognition.