Improving the visual comprehension of point sets

Research output: Contribution to journalConference articlepeer-review

Abstract

Point sets are the standard output of many 3D scanning systems and depth cameras. Presenting the set of points as is, might 'hide' the prominent features of the object from which the points are sampled. Our goal is to reduce the number of points in a point set, for improving the visual comprehension from a given viewpoint. This is done by controlling the density of the reduced point set, so as to create bright regions (low density) and dark regions (high density), producing an effect of shading. This data reduction is achieved by leveraging a limitation of a solution to the classical problem of determining visibility from a viewpoint. In addition, we introduce a new dual problem, for determining visibility of a point from infinity, and show how a limitation of its solution can be leveraged in a similar way.

Original languageEnglish
Article number6618867
Pages (from-to)121-128
Number of pages8
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOIs
StatePublished - 2013
Event26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, United States
Duration: 23 Jun 201328 Jun 2013

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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