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Our feature extraction is a multi-step refinement method, we use principle curvatures to flag potential feature points and develop a new approach to detect potential feature curves by employing our improved weight sensitive moving least squares. Then the potential feature points are enhanced by projecting onto the local potential feature curves. Using an optimized principal covariance analysis approach,...
We proposed a robust algorithm for valley-ridge extraction from point set. Our algorithm separately flag potential valley points and ridge points according to principle curvature of every point, then enhance the valley-ridge points by projecting them onto their local nearest potential valleys or ridges. Using an optimized principal covariance analysis approach, we smooth the projected points, finally...
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