Artificial neural networks for 3-D rigid motion analysis

Ting Chen*, Wei Chung Lin, Chin Tu Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

A novel approach to 3-D rigid motion analysis using artificial neural network techniques is proposed. This approach differs from previous works in the ways it tackles the problems of matching and motion parameter extraction among two or multiple frames. A two-dimensional Hopfield network is configured to enforce matching between two frames, and a three-layered learning network is constructed to extract motion parameters with fast implementation speed and flexibility in processing information from multiple frames. Experiments on both synthetic and real data sets are conducted to corroborate the proposed techniques.

Original languageEnglish (US)
Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
EditorsC.H. Dagli, L.I. Burke, Y.C. Shin
PublisherASME
Pages511-516
Number of pages6
Volume2
StatePublished - Dec 1 1992
EventProceedings of the 1992 Artificial Neural Networks in Engineering, ANNIE'92 - St.Louis, MO, USA
Duration: Nov 15 1992Nov 18 1992

Other

OtherProceedings of the 1992 Artificial Neural Networks in Engineering, ANNIE'92
CitySt.Louis, MO, USA
Period11/15/9211/18/92

ASJC Scopus subject areas

  • Software

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