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 ScienceWatch

SPECIAL TOPICS

Face Recognition

Published: April 2009

The baseline time span for this database is (publication years) 1998-December 31, 2008 from the sixth bimonthly update (an 11-year period). The resulting database contained 9,673 (10 years) and 2,104 (2 years) papers; 12,698 authors; 82 nations; 1,337 journals; and 142 institutions. See additional paper information below in the overview & methodology sections.

Top 20 Papers

  10-year period
  2-year period

Top 20 Overall

  Authors
  Institutions
  Journals
  Nations

Research Front Map

  Map title: MACHINE LEARNING AND FACE RECOGNITION
  Map title: BIOMETRIC SYSTEMS
  Map title: FACE RECOGNITION (Jun, 2008)

Time Series

  1- & 5-year periods

Field Distribution

Interviews

  Interviews, first-person essays, and profiles about people in a wide variety of fields which pertain to this special topic of Face Recognition.
   

OVERVIEW

Face recognition is a hot topic in the computer sciences, with a variety of application possibilities, including video surveillance and human-computer interfaces. This month, ScienceWatch.com examines the literature in this area over the past decade and over the past two years.

The analysis was constructed using a keyword search for "face recog*" OR "face ident*" OR "face detect*" OR "view-based recog*" OR "object recog*" in the titles, abstracts, and keywords sections of original articles, reviews, and proceedings papers. The data pool was also narrowed by field (view fields). In constructing the list of the top 20 papers over the past decade and over the past two years, we further limited the search to papers with "face" in the titles in order to obtain a more on-point list of papers. View keywords used for search.

The pros and cons of a variety of face recognition algorithms are the main focus of both paper lists. These algorithms include both one- and two-dimensional principal component analysis (PCA), linear discriminant analysis (LDA), locality preserving projections (LPP), eigenfaces, fisherfaces, Gabor features, FERET, component analyses, and discriminant analyses. Problems associated with these methods, or problems certain methods were designed to overcome include pose and lighting variations, small sample sizes, and multiple viewpoints. Studies of how these methods perform in comparison to other methods as well as to human operators are also included.

Methodology: The baseline time span for this database is (publication years) 1998-December 31, 2008 from the sixth bimonthly update (an 11-year period). The resulting database contained 9,673 (10 years) and 2,104 (2 years) papers; 12,698 authors; 82 nations; 1,337 journals; and 142 institutions. See additional paper information below in the overview & methodology sections.

Papers: To construct the top 20 papers lists for the past decade and the past two years, the papers were further narrowed down by the title keyword "face." This adjustment resulted in the top 20 papers being selected from a pool of 3,997 (10 years) and 878 (2 years) papers.

Rankings: Once the database was in place, it was used to generate list of authors, journals, institutions, and nations. Rankings for author, journal, institution, and country are listed in three ways: according to total cites, total papers, and total cites/paper. The paper thresholds and corresponding percentages used to determine scientist, institution, country, and journal rankings according to total cites/paper, and total papers respectively are as follows:

Entity Authors Institutions Nations Journals
Thresholds 15 43 23 41
Percentage: %1 %20 %50 %20

Graphic credit: ScienceWatch.com would like to thank the the site "Face Recognition" at www.face-rec.org for kindly allowing us to use their graphic.

         



Analyses : Special Topics : Face Recognition
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