https://scholars.lib.ntu.edu.tw/handle/123456789/116024
標題: | Automatic facial feature extraction by applying genetic algorithms | 作者: | Lin, Chun-Hung Wu, Ja-Ling |
公開日期: | 六月-1997 | 卷: | 3 | 起(迄)頁: | 1363-1367 | 來源出版物: | International Conference on Neural Networks | 摘要: | An automatic facial feature extraction algorithm is presented in this paper. The algorithm is composed of two main stages: the face region estimation stage and the feature extraction stage. In the face region estimation stage, a second-chance region growing method is adopted to estimate the face region of a target image. In the feature extraction stage, genetic search algorithms are applied to extract the facial feature points within the face region. It is shown by simulation results that the proposed algorithm can automatically and exactly extract facial features with limited computational complexity. © 1997 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030651568&doi=10.1109%2fICNN.1997.613985&partnerID=40&md5=226b3e53af94fbd12ce8290ce4354375 http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041910031860/1/00613985.pdf |
其他識別: | N/A | DOI: | 10.1109/ICNN.1997.613985 | SDG/關鍵字: | Face regions; Facial feature; Facial feature extraction; Facial feature points; Genetic search algorithms; Region growing methods; Target images; Algorithms; Estimation; Neural networks; Computational complexity; Computer simulation; Genetic algorithms; Parameter estimation; Feature extraction; Automatic facial feature extraction |
顯示於: | 資訊工程學系 |
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00613985.pdf | 402.34 kB | Adobe PDF | 檢視/開啟 |
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