A proposed registration method using tracking interest features for augmented reality
المؤلفون المشاركون
Ali, Yusra Husayn
Abd Allah, Abd al-Amir
Ghindawi, Ikhlas Watan
المصدر
Engineering and Technology Journal
العدد
المجلد 34، العدد 6B (30 يونيو/حزيران 2016)، ص ص. 831-841، 11ص.
الناشر
تاريخ النشر
2016-06-30
دولة النشر
العراق
عدد الصفحات
11
التخصصات الرئيسية
العلوم الهندسية والتكنولوجية (متداخلة التخصصات)
الملخص EN
An Augmented Reality (AR) incorporates a mix of genuine and PC created scene segments.
AR frameworks enhance a client's impression of this present reality with information that is not entirely of the scene.
A key test for making an expanded the truth is to keep up precise arrangement amongst genuine and virtual thing.This exploration delineates a method to build up the enlistment extent of a dream based enlarged reality (AR) framework, also explores a simple method for detecting and tracking natural features in video stream.
In this method, a reference image has been used as a tool to find the a proper position of an object.
This method first uses Harris Corner Detector to detect the interest features and find the correspondences using cross-correlation method then it used the Random Sample Consensus (RANSAC) algorithm to find the Homography matrix .After acquiring keypoints in the video frame, a Kanade–Lucas–Tomasi (KLT) feature tracker optical flow tracking algorithm has been used to track the motion of these keypoints frame-by-frame.
By maintaining the correspondence between the tracked keypoints and those on the clean marker image, a new homography for every frame has been computed.
This allows tracking the orientation of the marker as it moves in the video frames.
Experiments for assessing the possibility of the technique are implemented in order to illustrate the potential benefits of the method, in which result's that to the target registration error (TRE) reach 0.0020 , root mean square error (RMSE ) is 0.003 and average time for whole dataset is 2.5 s
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abd Allah, Abd al-Amir& Ali, Yusra Husayn& Ghindawi, Ikhlas Watan. 2016. A proposed registration method using tracking interest features for augmented reality. Engineering and Technology Journal،Vol. 34, no. 6B, pp.831-841.
https://search.emarefa.net/detail/BIM-770579
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abd Allah, Abd al-Amir…[et al.]. A proposed registration method using tracking interest features for augmented reality. Engineering and Technology Journal Vol. 34, no. 6B (2016), pp.831-841.
https://search.emarefa.net/detail/BIM-770579
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abd Allah, Abd al-Amir& Ali, Yusra Husayn& Ghindawi, Ikhlas Watan. A proposed registration method using tracking interest features for augmented reality. Engineering and Technology Journal. 2016. Vol. 34, no. 6B, pp.831-841.
https://search.emarefa.net/detail/BIM-770579
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 841
رقم السجل
BIM-770579
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر