Academic Journal

HEAD MOTION MONITORING BASED ON FOVEAL APPROACH AND LOCAL FACIAL LANDMARK DETECTION

التفاصيل البيبلوغرافية
العنوان: HEAD MOTION MONITORING BASED ON FOVEAL APPROACH AND LOCAL FACIAL LANDMARK DETECTION
المؤلفون: S. Anishenko, D. Shaposhnikov, L. Podladchikova, R. Comley, K. Sukholentsev, X. W. Gao
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://nisms.krinc.ru/papers/PRIA_9_eng.pdf.
المجموعة: CiteSeerX
الوصف: Algorithms and procedures to monitor human head motions based on three vision models (CIECAM’97, RETINA, and BMV) and detection of local facial landmarks are presented. They are evaluated on video image sequences monitoring the head positions of subjects (n=5) with different skin colours. The range of illumination conditions for high performance of the developed algorithms has been determined (more than 30 cd/m2). At this illumination level, face segmentation and facial landmark detection are correctly performed (p = 1 for segmentation, p = 0.98 for landmark detection).
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.556.9511; http://nisms.krinc.ru/papers/PRIA_9_eng.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.556.9511
http://nisms.krinc.ru/papers/PRIA_9_eng.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.761AA68E
قاعدة البيانات: BASE