Integrating principal axes method and moment method for 3D objects normalization and recognition

Chengjun Liu, Ruwei Dai

Research output: Contribution to journalArticlepeer-review

Abstract

A new idea is presented which integrates the principal axes method and moment method to normalize and recognize 3D objects. First, criteria for determining the unique principal axes were established which can perform efficiently to normalize the orientations of 3D objects.Then, 3D moment invariants which are position, orientation and scaling independent were derived. Finally, by using the second and third order moment invariants a discriminating vector and criteria for 3D objects recognition were presented. Experimental results of normalization and recognition of twelve 3D objects show the efficiency of our method.

Original languageEnglish (US)
Pages (from-to)672-680
Number of pages9
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume22
Issue number6
StatePublished - Nov 1 1996
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Computer Graphics and Computer-Aided Design

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