An Application of Principal Component Analysis for Fitting and Searching Operations with  Active Shape Model

Mohammad Amro Jamal ALDIBAJA; Shinichi SUZUKI

doi:10.11511/jacc.54.0.135.0

THE 54TH JAPAN JOINT AUTOMATIC CONTROL CONFERENCE

Session ID : 1K103

DOI https://doi.org/10.11511/jacc.54.0.135.0

Conference information

Host: The Society of Instrument and Control Engineers, The Japan Society of Mechanical Engineers, The Institute of Systems, Control and Information Engineers, The Society of Chemical Engineers, The Japan Society for Precision Engineering, The Japan Society for Aeronautical and Space Sciences

Co-host: Toyohashi University of Technology, Technically Cosponsored by 51 Societies and Institutes

Signal Processing and Pattern Recognition (1: Pattern Recognition and its Application)

An Application of Principal Component Analysis for Fitting and Searching Operations with Active Shape Model

*Mohammad Amro Jamal ALDIBAJA, Shinichi SUZUKI

Author information

Keywords: ASM: Active Shape Model, PCA: Principal Component Analysis

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

The paper propose new improved search and fit procedures for Active Shape Model (ASM). Both of these operations have been enhanced by using the Principal Component Analysis (PCA) effect on data reduction and object recognition. Paper investigates the new performance and shows the results gotten by new steps. Finally the results will be summarized in conclusion with referring to the positive and negative points of new procedures.

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