Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct construction of polynomial surfaces from dense range images through region growing
ACM Transactions on Graphics (TOG)
A geometric concept of reverse engineering of shape: approximation and feature lines
Proceedings of the international conference on Mathematical methods for curves and surfaces II Lillehammer, 1997
Computing natural division lines on free-form surfaces based on measured data
Proceedings of the international conference on Mathematical methods for curves and surfaces II Lillehammer, 1997
Directed edges—A scalable representation for triangle meshes
Journal of Graphics Tools
Reverse Engineering B-Rep Models from Multiple Point Clouds
GMP '00 Proceedings of the Geometric Modeling and Processing 2000
Dynamic remeshing and applications
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
A new approach for a topographic feature-based characterization of digital elevation data
Proceedings of the 12th annual ACM international workshop on Geographic information systems
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We represent a technique for recovering structural information from triangular meshes that can then be used for segmentation, e.g. in reverse engineering applications. In a preprocessing step, we detect feature regions on the surface by classifying the vertices according to some discrete curvature measure. Then we apply a skeletonization algorithm for extracting feature lines from these regions. To achieve this, we generalized the concept of morphological operations to unorganized triangle meshes, providing techniques for noise reduction on the binary feature classification and for skeletonization. The necessary operations are easy to implement, robust, and can be executed efficiently on a mesh data structure.