Human and computer vision has a vital role in intelligent interaction with computer, face recognition is one of the subjects that have a wide area in researches, a big effort has been exerted in last decades for face recognition, face detection, face tracking, as yet new algorithms for building fully automated system are required, these algorithms should be robust and efficient. The first step of any face recognition system is face detection, the goal of face detection is the extraction of face region within image, taking into consideration lightning, orientation and pose variation, whenever this step accurate the result of face recognition will be better, this paper introduce a survey of techniques and methods of feature based face detection.

Face recognition --- Face detection --- ASM --- Viola-Jones

ANTHROPOMETRIC FACE IN BASRAHNada H Al-jassim , Zuhair F Fathallah & Nawal M AbdullahMB,ChB, DGO.Anatomy.Abstract Anthropometry is the systematic quantitative representation of the human body, it is used to measure the absolute and relative variability in size and shape of the human body. Over thecenturies, there have been remarkable changes in anthropometric measurements due to geographical, cultural, genetic and environmental factors. The studying of human face and theassessment of facial dimensions attract the attention of the artists, poets and scientists and takes a prime importance in medical and dental fields in both diagnosis and treatment planning.Anthropometry also used for the design of clothing and equipment, e.g. Gas masks, oxygen masks, dust masks and respirators as well as design of military and industrial helmets. Therehad been no studies done on facial measurement in Basrah therefore, this study is to be considered as the first in this field and the baseline for further studies. This study had attemptedto quantitatively measure the human face in different ethnic groups of the local population and to identify the differences between individuals of different races and sexes, also to identify the differences between the people of Basrah and other people worldwide. These differences whichare responsible for the special facial features in different ethnic groups should be maintained during reconstructive or aesthetic surgery otherwise the patients will lose their ethnic features. The people of Basrah have different racial and ethnic background, there are Semites which are the Arabs and Syrian (Assyrian & Chaldean), Arian, who are the Armenian, Kurdish andPersian, and then there is the mixed group result from interracial marriages. This study is a cross sectional study with a comparative component conducted in Basrah governorate. The data was randomly collected from volunteers, for the period from February toJuly 2013. Raw data used in this study was originated from a total number of 1000 Iraqi adults (526 females and 474 males) living throughout Basrah governorate and were used to create adatabase for statistical analysis. The result of this study shows that there are differences between the races and between the local people and the surrounding countries and indeed there is a great difference from thestandard measurement advocated by western researchers. Introductionhe human face is a living mirror heldTout to the world, it has the power to common expression is “I may forget aname, but I’d never forget a face’ Anthropometryquantitative representation of the humanindividualunderstanding human physical variations . Overremarkablemeasurementscultural,Bas J Surg, December, 20, 2014Original ArticleMEASUREMENTSOFHUMANMB,ChB, MSc, Assist. Prof. Plastic Surgeon. MB,ChB, MSc, Assist.Prof. o

ANTHROPOMETRIC FACE IN BASRAH

In modern times face recognition is one of the vital sides for computer vision. This is due to many reasons involving availability and accessibility of technologies and commercial applications. Face recognition in a brief statement is robotically recognizing a person from an image or video frame. In this paper, an efficient face recognition algorithm is proposed based on the benefit of wavelet decomposition to extract the most important and distractive features for the face and Eigen face method to classify faces according to the minimum distance with feature vectors. Faces94 data base is used to test the method. An excellent recognition with minimum computation time is obtained with accuracy reaches to 100% and recognition time decreases to 87.5%.

في الوقت الحاضر تميز الوجوه يعتبر احد الجوانب الحيوية في رؤى الكمبيوتر وذلك يرجع الى عدة اسباب منها تواجد التكنلوجيا و التطبيقات التجارية و سهولة الوصول اليها و استعمالها. باختصار تميز الوجوه يميز الشخص تلقائيا من صورة او مقطع فيدو. في هذا البحث أُقترح خوارزمية كفؤة لتميز الوجوه معتمدة على الاستفادة من خواص تحليل المويجات بإستخلاص اهم الصفات المميزة للوجه و طريقة القيم الذاتية للوجه و تصنيف الوجوه حسب أقل مسافة مع متجهات الصفات المميزة. قاعدة البيانات العامة (Faces94 ) قد استعملت لإختبار الخوارزمية و تم الحصول على نتائج تميز ممتازة بأقل وقت حسابات حيث وصلت الدقة الى 100% بينما قل الوقت ال 87.5 %.

Face Recognition --- PCA --- DWT.

Face recognition is one of current biometrics identification methods, that based on the measuring to one of human biological characteristics and utilize them to recognize individuals. These characteristics are called biometric they are hard to fake because they identify a person by measuring one of its biological characteristics such as (finger print, iris print and face print). With the rapid improvement of mobile technologies that happen in last decade face recognition process can make using mobile phone, this paper explains the building of mobile face recognition system using Eigen face approach, Experimental results have been tested on a local data-set that has been created to analyze the efficiency of the application in various cases including different illumination conditions, variation of view, and orientation, the recognition rate of the application when testing on Galaxy Grand Prime + was 78.4. while The recognition rate when testing on Galaxy Note 5 was 82.4. The accuracy of this application can reach to 100% if we use camera with high accuracy and on good light condition.

تمييز الوجوه هي واحدة من طرق التعريف البايومترية الحالية، التي تعتمد على الحساب لاحد خواص الانسان البيولوجية واستخدامها لتمييز الافراد. هذه الخواص تسمى (biometric) من الصعب تزويرها لانها تعرف الشخص بالاعتماد على حساب أحد خواصه البيولوجية مثل (بصمة اليد، بصمة العين، بصمة الوجه). مع التطور الحاصل في تقنية الموبايل في العقد الأخير، عملية تمييز الوجوه ممكن ان تحدث باستخدام الموبايل، هذا البحث يوضح بناء تطبيق لتمييز الوجوه ب استخدام الموبايل وباستخدام منهجية (Eigen face). تجارب النتائج طبقت على قاعدة بيانات محلية لغرض تحليل اداء التطبيق في حالات مختلفة تتضمن (شروط اضاءة مختلفة، اختلاف نقطة التصوير، التدوير). معدل تمييز التطبيق عند تجربته على موبايل (Galaxy Grand Prime +) أظهرت نسبة 78.4، وعندما طبقت على (Galaxy Note 5) اظهرت دقة تمييز 82.4. دقة التطبيق ممكن ان تصل الى 100% اذا استخدمنا كامرة ذات دقة عالية وفي ظروف اضاءة جيدة.

Eigen face --- Cascade classifier

Construction projects are complex projects and their organisations are characterised by a high degree of fragmentation since they are distributed in large areas and clearly they involves of many activities, each one being divided into sub-activities and so on. Hear clear and good communication between projects stakeholders leads to the project being more successful in contrast to when the communication is weak. This paper compares two methods of communication used in Iraqi construction projects during the implementation stage, namely the Face to Face (FTF) approach which is characterised as expensive and disruptive and Computer Mediated Communication (CMC) which represents the modern method in the communication field. The results show that the CMC method is more productive and economic than FTF and takes less time when completing an implementation work; in addition, the people are less affected by emotional factors in the construction project in contrast to FTF.

تعتبر المشاريع الانشائية من المشاريع المعقدة وتتميز تركيباتها بدرجة عالية من التجزء وهذا بسبب انتشارها فيمساحات واسعة اضافة الى ذالك ان كل مشروع يتكون من عدد كبير من الفعاليات وكل فعالية تتجزء الى عدة فعالياتثانوية وهكذا. ان الاتصال الجيد بين شركاء العمل يقود الى ان المشروع يكون اكثر نجاحا مقارنة عندما يكون الاتصالضعيف. هذا البحث يقارن بين نوعين من الاتصالات في المشاريع الانشائية في العراق اثناء مرحلة التنفيذ وتسمى )وجهاالى وجه( وهذه الطريقة تتميز بانها مكلفة وتأخر من عمر المشروع والطريقة الاخرى هي الاتصال عن طريق الشبكةالعنكبوتية والتي تمثل الطريقة الاحدث في حقل الانصالات.ان النتائج بينت افضلية طريقة الاتصال بواسطة الكومبيوتر منحيث الانتاجية والاقتصاد وكذالك ان الفعالية تحتاج الى وقت اقل لانجازها مقارنة بلطريقة التقليدية,بلاضافة الى ذالك انالناس يتاثرون في العوامل العاطفية في هذه الطريقة اقل من طريقة )وجها الى وجه(.

Construction --- Communication --- Face to Face --- FTF --- Computer mediated Communication --- CMC.