The Comparison of Face Detection Methods in Angled Mode
- سال انتشار: 1395
- محل انتشار: اولین کنفرانس بین المللی دستاوردهای نوین پژوهشی در مهندسی برق و کامپیوتر
- کد COI اختصاصی: CBCONF01_0243
- زبان مقاله: انگلیسی
- تعداد مشاهده: 910
نویسندگان
Young Researchers and Elite Club Islamic Azad University Qazvin, Iran
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Department of Electrical, Computer and Information Technology Islamic Azad University, Qazvin Branch, Iran
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده
the necessity to use the new technologies and carrying out more detailed studies based on identification of best methods in order to detect people’s face with respect to modes and position angles in the image, prompted the researchers to further focus on this issue. What issue in the event of face detection is always intended as a question mark of full knowledge and ingenuity, is to achieve results in line with targeting of scientific and security agencies. Therefore, with increasing the risks of terrorism and the necessity to identify the suspect people in doing such actions, carrying out a comprehensive study in order to collect the most new face detection techniques is inevitable. In this paper, we studied and compared five modern methods in face detection that include IWC-F, Eignfaces, Fuzzy-IWO, FLDA-PCA, Fuzzy-Ga, FisherFace. We evaluated these methods on the same terms and with the ORL standard dataset and presented the results in detail. In this paper we find that the FisherFace algorithm has better results than other algorithms in the presented database.کلیدواژه ها
Posed Face Detection, Image Processing, Comparing Face Detection Methods, Fuzzy Logic, ORL databaseمقالات مرتبط جدید
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