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العنوان
3D object detection and classification with microsoft kinect and deep neural networks /
الناشر
Ahmed Fawzy Elaraby ,
المؤلف
Ahmed Fawzy Elaraby
تاريخ النشر
2019
عدد الصفحات
111 P. :
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 133

from 133

المستخلص

In this thesis, we propose a complete 3D object detection and recognition system that is based on Microsoft Kinect sensor and contains an enhanced depth estimation algorithm. Our idea is to use a cheap on-the-shelf sensor and integrate/develop algorithms that use the sensors data to detect the objects{u2019} positions and define their type. An end-to-end Kinect based 3D object detection and recognition system was developed that has accurate results and high processing speed compared to literature