首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:DETEKSI LANDMARK CITRA WAJAH DENGAN EXTRAKSI FITUR GABOR ANALISA FUZZY
  • 本地全文:下载
  • 作者:Resmana Lim
  • 期刊名称:Jurnal Informatika
  • 印刷版ISSN:1411-0105
  • 出版年度:2003
  • 卷号:4
  • 期号:1
  • 页码:1-7
  • DOI:10.9744/informatika.4.1.pp. 1-7
  • 语种:English
  • 出版社:Institute of Research and Community Outreach - Petra Christian University
  • 摘要:This paper proposes a method that automatically finds human faces as well as its landmark points in color images based on a fuzzy analysis. The proposed approach first uses color information to detect face candidate regions and then uses a fuzzy analysis of the color, shape, symmetry and interior facial features. A deformable Gabor wavelet graph matching is used to locate the facial landmark points describing the face. The latter allows for size and orientation variation since the search for landmark points allows for affine transformations as well as local deformations of the Gabor wavelet graph. The search is performed using a genetic algorithm that is essential because it effectively searches the solution space. Results based on the proposed method are included to verify the effectiveness of the proposed approach. Abstract in Bahasa Indonesia : Paper ini mengusulkan sebuah metode deteksi wajah beserta dengan titik landmarknya pada citra berwarna menggunakan analisa fuzzy. Proses awal menggunakan informasi warna kulit untuk menseleksi calon-calon obyek lantas dilanjukan dengan analisa fuzzy terhadap warna, bentuk, simetri dan fitur/landmark wajah. Proses lokalisasi landmark wajah menggunakan Gabor wavelet graph matching dengan memaksimalkan kemiripan antara landmark wajah model dengan obyek inputan. Proses maksimalisasi kemiripan ini menggunakan algoritma genetika. Hasil-hasil percobaan ditampilkan untuk memberikan gambaran keberhasilan dari metode yang diusulkan. Kata kunci: lokalisasi landmark wajah, analisa fuzzy, graph matching, algoritma genetika, Gabor wavelet.
  • 关键词:face landmark localization, fuzzy analyzing, graph matching, genetic algorithm, Gabor wavelet.
国家哲学社会科学文献中心版权所有