Segmenting point-sampled surfaces |
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Authors: | Ichitaro Yamazaki Vijay Natarajan Zhaojun Bai Bernd Hamann |
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Affiliation: | (3) Center for Operations Research in Medicine and HealthCare, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA; |
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Abstract: | Extracting features from point-based representations of geometric surface models is becoming increasingly important for purposes
such as model classification, matching, and exploration. In an earlier paper, we proposed a multiphase segmentation process
to identify elongated features in point-sampled surface models without the explicit construction of a mesh or other surface
representation. The preliminary results demonstrated the strength and potential of the segmentation process, but the resulting
segmentations were still of low quality, and the segmentation process could be slow. In this paper, we describe several algorithmic
improvements to overcome the shortcomings of the segmentation process. To demonstrate the improved quality of the segmentation
and the superior time efficiency of the new segmentation process, we present segmentation results obtained for various point-sampled
surface models. We also discuss an application of our segmentation process to extract ridge-separated features in point-sampled
surfaces of CAD models. |
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Keywords: | |
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