Shape preserving data reduction for 3D surface points

Xinhui Ma, Robert J. Cripps

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


In reverse engineering, vast amounts of point data captured by certain types of scanners significantly increase the complexity and reduce the efficiency in downstream activities, such as surface modelling and manufacturing. Data reduction has therefore become an important issue. A new data reduction algorithm for surface points is developed to preserve the original shape using an error metric based on a Hausdorff distance of principal curvature vectors. The performance of the proposed method is illustrated by its application to a test surface and an industrial surface.
Original languageEnglish
Pages (from-to)902-909
Number of pages8
JournalComputer-Aided Design
Issue number8
Publication statusPublished - Aug 2011


  • Data reduction
  • Shape preserving
  • Hausdorff distance
  • Principal curvature vector


Dive into the research topics of 'Shape preserving data reduction for 3D surface points'. Together they form a unique fingerprint.

Cite this