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3D object detection and classification with microsoft kinect and deep neural networks / Ahmed Fawzy Elaraby ; Supervised Ayman Hamdy Kassem , Mohamed Mohamed Rehan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Fawzy Elaraby , 2019Description: 111 P. : charts , facsimiles ; 30cmOther title:
  • الكشف والتصنيف ثلاثى الأبعاد للأهداف بإستخدام جهاز ميكروسوفت كينيكت والشبكات العصبية العميقة [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering Summary: 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
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.01.M.Sc.2019.Ah.T (Browse shelf(Opens below)) Not for loan 01010110080545000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.01.M.Sc.2019.Ah.T (Browse shelf(Opens below)) 80545.CD Not for loan 01020110080545000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering

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

Issued also as CD

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