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Segmenting point-sampled surfaces

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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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Authors and Affiliations

  1. Department of Computer Science, University of California, One Shields Avenue, Davis, CA, 95616, USA

    Ichitaro Yamazaki & Zhaojun Bai

  2. Department of Computer Science, Institute for Data Analysis and Visualization (IDAV), One Shields Avenue, Davis, CA, 95616, USA

    Bernd Hamann

  3. Department of Computer Science and Automation, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, 560012, India

    Vijay Natarajan

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  1. Ichitaro Yamazaki
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  2. Vijay Natarajan
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  3. Zhaojun Bai
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  4. Bernd Hamann
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Correspondence to Ichitaro Yamazaki.

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Yamazaki, I., Natarajan, V., Bai, Z. et al. Segmenting point-sampled surfaces. Vis Comput 26, 1421–1433 (2010). https://doi.org/10.1007/s00371-010-0428-z

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