Academic Journal

A Genetic Algorithm based Method for Face Localization and pose Estimation

التفاصيل البيبلوغرافية
العنوان: A Genetic Algorithm based Method for Face Localization and pose Estimation
المؤلفون: Hamidreza Rashidy Kanan, Mohammad Hassan Moradi
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.setit.rnu.tn/last_edition/setit2005/image-video/38.pdf.
سنة النشر: 2005
المجموعة: CiteSeerX
مصطلحات موضوعية: Key words, Face Localization, Pose Estimation, Genetic Algorithms, Shape Information
الوصف: This paper introduces a new method using genetic algorithms (GA’s) for face localization. Face images often have a background that can affect on the face localization algorithm. So, finding the exact location of face after localization algorithm is crucial. In our algorithm, input image is first enhanced by means of histogram equalization. Then connected components are determined by applying a region growing algorithm (coarse segmentation), followed by computing the fit ellipse for face area and at least exact location of face is found by genetic algorithms method. To check the utility of our proposed algorithm, we have defined tilt error and translation error that are the difference between obtained and real tilts and centers of localized face respectively. Simulation results on the ORL database show the effectiveness of this method. As, mentioned errors are obtained 4.2 degree and 5.4, respectively.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.523.9402; http://www.setit.rnu.tn/last_edition/setit2005/image-video/38.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.523.9402
http://www.setit.rnu.tn/last_edition/setit2005/image-video/38.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.62A0037F
قاعدة البيانات: BASE