A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
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
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Multiresolution feature extraction for unstructured meshes
Proceedings of the conference on Visualization '01
Wavelets for Computer Graphics: A Primer, Part 1
IEEE Computer Graphics and Applications
Shape abstraction tools for modeling complex objects
SMA '97 Proceedings of the 1997 International Conference on Shape Modeling and Applications (SMA '97)
Curvature estimation for segmentation of triangulated surfaces
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
IEEE Transactions on Visualization and Computer Graphics
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Given an object digitized as sequences of scan lines, we propose an approach to the extraction of feature lines and object segmentation based on a multi-resolution representation and analysis of the scan data. First, the scan lines are represented using a multi-resolution model which provides a flexible and useful reorganization of the data for simplification purposes and especially for the classification of points according to their level of detail, or scale. Then, scan lines are analyzed from a geometrical point of view in order to decompose each profile into basic patterns which identify 2D features of the profile. Merging the scale and geometric classification, 3D feature lines of the digitized object are reconstructed tracking patterns of similar shape across profiles. Finally, a segmentation is achieved which gives a form-feature oriented view of the digitized data. The proposed approach provides a computationally light solution to the simplification of large models and to the segmentation of object digitized as sequences of scan lines, but it can be applied to a wider range of digitized data.