استخدمت منهجية التعرف باستخدام موصف مخطط التوزع التكراري للتدرج الموجه HOG لبناء مصنف آلة شعاع الدعم SVM و طبقت هذه الطريقة اعتمادا على لغة البرمجة C++ و المكتبات OpenCV و Dlib.
The Histogram of Oriented Gradient
(HOG) was used to construct the Support Vector Machine (SVM)
workbook. This method was applied using C++ programming
language and OpenCV and Dlib Libraries.
المراجع المستخدمة
Ondrej Miksik and Krystian Mikolajczyk, "Evaluation of local detectors and descriptors for fast feature matching," in Pattern Recognition (ICPR), 21st International Conference on, 2012, pp. 2681-2684
Hua Ji, Yuanhao Wu, Hong-Hai Sun, and Yan-jie Wang, "SIFT feature matching algorithm with global information," Optics and Precision Engineering, vol. 17, no. 2, pp. 439-444, 2009
Patricio Loncomilla, Javier Ruiz del Solar, and Luz MartÃnez, "Object recognition using local invariant features for robotic applications: A survey," Pattern Recognition, vol. 60, no. Supplement C, pp. 499-514, 2016