Fast segmentation of range images into planar regions by scan line grouping
Machine Vision and Applications
Automatic reconstruction of B-spline surfaces of arbitrary topological type
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
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
Shape abstraction tools for modeling complex objects
SMA '97 Proceedings of the 1997 International Conference on Shape Modeling and Applications (SMA '97)
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This paper addresses the reconstruction of an object shape model from a set of digitized profiles, or scanlines. The reconstruction is approached in two main phases. Firstly, a hierarchical simplification of the original data set is performed which is aimed at discarding irrelevant data and at providing different levels of detail of the data set. Secondly, a shape signature is computed to characterize the shape of each profile and to reconstruct important feature lines. Feature lines can be used to delimitate meaningful surface patches on the reconstructed mesh (segmentation). Even if the proposed approach is presented in the specific context of Reverse Engineering, its application and usefulness is more general as it will be discussed for the geographical domain.