What is wrong with mesh PCA in coordinate direction normalization

Heng Liu, Jingqi Yan, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

This work makes a detailed analysis on why using mesh PCA for coordinate direction normalization is always uncertainty in 3D surface registration. Our analysis takes the view of discrete signal statistical analyzing and is based on the specific process research of mesh PCA. Then we present a corrected method to improve mesh PCA effects. Such corrected method comes from the fact that the principal axes directions of 3D surface should be those in which the vertex distances are the longest among all 3D vertex distances. Corresponding experimental results on range scan data and synthetic models are provided.
Original languageEnglish
Pages (from-to)2244-2247
Number of pages4
JournalPattern Recognition
Volume39
Issue number11
DOIs
Publication statusPublished - 1 Nov 2006

Keywords

  • Coordinate direction normalization
  • Mesh PCA
  • Surface registration

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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