Classifier selection for face recognition algorithm based on active shape model

被引:0
|
作者
Florek, Andrzej [1 ]
Krol, Maciej [1 ]
机构
[1] Poznan Univ Tech, Inst Control & Informat Engn, Automat Control & Robot Div, PL-60965 Poznan, Poland
来源
VISAPP 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2 | 2008年
关键词
face classification; active shape model; support vector machines; fisher linear discriminant analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, experimental results from the face contour classification tests are shown. The presented approach is dedicated to a face recognition algorithm based on the Active Shape Model. The results were obtained from experiments carried out on the set of 2700 images taken from 100 persons. Manually fitted contours (194 samples for eight components of one face contour) were classified after feature space decomposition carried out by the Linear Discriminant Analysis or by the Support Vector Machines algorithms.
引用
收藏
页码:276 / 281
页数:6
相关论文
共 50 条
  • [1] CLASSIFIERS SENSITIVITY FOR BOUNDARY CASE TESTING SET IN THE FACE RECOGNITION ALGORITHM BASED ON THE ACTIVE SHAPE MODEL
    Florek, Andrzej
    Krol, Maciej
    VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2, 2009, : 281 - 287
  • [2] Uniform design based SVM model selection for face recognition
    Li Weihong
    Liu Lijuan
    Gong Weiguo
    SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING, 2010, 7546
  • [3] ACTIVE APPEARANCE MODEL ALGORITHM WITH K-NEAREST NEIGHBOR CLASSIFIER FOR FACE POSE ESTIMATION
    Wu, Bing-Fei
    Kao, Chih-Chung
    Jen, Cheng-Lung
    Chiang, Chia-Rong
    Lai, Po-Hung
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2014, 22 (03): : 285 - 294
  • [4] Face recognition based on the combination method of multiple classifier
    Libo, Yang
    Hao, Chang
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016, 9 (04) : 151 - 164
  • [5] Automatic Recognition of Mycobacterium Tuberculosis Based on Active Shape Model
    Xu, Chao
    Zhou, Dongxiang
    Guan, Tao
    Zhai, Yongping
    Liu, Yunhui
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2016, E99D (04): : 1162 - 1171
  • [6] Face Recognition System using SVM-Based Classifier
    Frolov, Igor
    Sadykhov, Rauf
    2009 IEEE INTERNATIONAL WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2009, : 394 - +
  • [7] An Active Shape Model based approach for Arabic Handwritten Character Recognition
    Dinges, Laslo
    Al-Hamadi, Ayoub
    Elzobi, Moftah
    PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1194 - 1197
  • [8] A Novel Framework of Face Recognition using Heuristic Development of Ensemble Classifier Model
    Shivaprakash, Santhosh
    Rajashekararadhya, Sannangi Viswaradhya
    ADVANCES IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING, 2023, 3 (03): : 1389 - 1406
  • [9] Active Shape Model-Based Gait Recognition Using Infrared Images
    Kim, Daehee
    Lee, Seungwon
    Paik, Joonki
    SIGNAL PROCESSING, IMAGE PROCESSING, AND PATTERN RECOGNITION, 2009, 61 : 275 - 281
  • [10] TONGUE SHAPE SYNTHESIS BASED ON ACTIVE SHAPE MODEL
    Song, Chan
    Wei, Jianguo
    Fang, Qiang
    Liu, Shen
    Wang, Yuguang
    Dang, Jianwu
    2012 8TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING, 2012, : 383 - 386