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Author Lin, Edward Carl, author.
Title Implementation of the eigenface face recognition algorithm in FPGA and microprocessor / by Edward Carl Lin.
Published [Northridge, California] : California State University, Northridge, 2013.
LOCATION CALL # STATUS
 Electronic Book  TA153 .Z953 2013 L56eb    ONLINE
  
Description 1 online resource (v, 56 pages) : illustrations, photographs, some color.
Content Type text
still image
Format online resource
File Characteristics text file PDF
Thesis M.S. California State University, Northridge 2013.
Bibliography Includes bibliographical references (page 48).
Note Description based on online resource; title from PDF title page (viewed on Aug. 6, 2013).
Summary This project investigates the theories of the eigenface face recognition algorithm by Pentland and Turk and demonstrates its effectiveness in hardware. It uses MATLAB to simulate the mathematical theories and implements the algorithm in FPGA and microprocessor. The same test images are used with MATLAB and FPGA implementations and the results are compared for accuracy. Many design trade-offs are made in order to operate within the resource constraints of the low-end FPGA board. Analysis shows these sacrifices lead to an error rate of up to 24% compared to the original publication. Based on what is learned from this project, future improvements are explored.
Subject Human face recognition (Computer science)
Eigenvectors.
Field programmable gate arrays.
Local Subject Dissertations, Academic -- CSUN -- Engineering -- Electrical and Computer Engineering.
Alternate Title Implementation of the eigenface face recognition algorithm in field-programmable gate arrays and microprocessor
OCLC number 855550732