عرض تفاصيل البحث

ادناه جميع التفاصيل الخاصة بالبحث المطلوب عرضه. توفر هذه المنصة معلومات اساسية حول البحث, لمزيد من التفاصيل يرجى متابعة التصفح من خلال الضغط على الرابط الاصلي للبحث او رابط DOI.

عنوان البحث
A Survey Of Feature Base Methods For Human Face Detection
عنوان المجلة
International Journal Of Control And Automation
ISSN-2005-4297
تفاصيل النشر
سنة النشر - 2015 / الفهرس الاصلي للمجلة - 8 : 5 (عدد الصفحات 17)
تصنيف البحث
علوم الحاسوب - المجموعة العلمية
البحث والاستدامة
الهدف 9– الصناعة والابتكار والبنية التحتية   المزيد حول هذا الهدف
البحث والمجتمع
نعم , يدعم

اسم الباحثجهة الانتساببلد الباحث
Hiyam Hatem University of Sumer Iraq
Zou Beiji central south university china

he human face is among the most significant objects in an image or video, it contains many important information and specifications, also is required to be the cause of almost all achievable look variants caused by changes in scale, location, orientation, pose, facial expression, lighting conditions and partial occlusions. It plays a key role in face recognition systems and many other face analysis applications. We focus on the feature based approach because it gave great results on detect the human face. Face feature detection techniques can be mainly divided into two kinds of approaches are Feature base and image base approach. Feature base approach tries to extract features and match it against the knowledge of the facial features. This paper gives the idea about challenging problems in the field of human face analysis and as such, as it has achieved a great attention over the last few years because of its many applications in various domains. Furthermore, several existing face detection approaches are analyzed and discussed and attempt to give the issues regarding key technologies of feature base methods, we had gone direct comparisons of the method s performance are made where possible and the advantages/disadvantages of different approaches are discussed.
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