Estimating Optical Flow Using Deep Learning with Event Cameras / (Record no. 166691)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03273namaa22004091i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20250223033235.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240415s2023 |||a|||fr|m|| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| Language code of sung or spoken text | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 006.37 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.13.06.M.Sc.2023.Al.E |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Ali Abdellatif Elseddeek Ali Hussein, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Estimating Optical Flow Using Deep Learning with Event Cameras / |
| Statement of responsibility, etc. | By Ali Abdellatif Elseddeek Ali Hussein; Under the Supervision of Prof. Dr. Amr Galaleldin Ahmed Wassal. |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | ﺗﻘﺪﯾﺮ اﻟﺘﺪﻓﻖ اﻟﺒﺼﺮي ﺑﺎﺳﺘﺨﺪام اﻟﺘﻌﻠﻢ اﻟﻌﻤﯿﻖ وﻛﺎﻣﯿﺮات اﻷﺣﺪاث |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 92 pages : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc.) Cairo University, 2023. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 79-92. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Estimating Optical Flow is one of the popular Computer Vision research problems. Recently, the new asynchronous event cameras were introduced in the Computer Vision field. A literature review is made on event cameras in this work. It is shown that utilizing Deep Neural networks and event cameras to solve the Optical Flow problem achieves better results. This work focuses on building a complete E-RAFT code. This is enhanced by optimizing the network. Finally, using transformers to estimate the optical flow problem is discussed, showing the expected results, followed by the outcomes of this trial. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | يعد تقدير التدفق البصري أحد مشكلات البحث الشائعة في مجال الرؤية الحاسوبية. في الآونة الأخيرة، تم تقديم كاميرات الأحداث غير المتزامنة في مجال الرؤية الحاسوبية. تم إجراء مراجعة للأدبيات على كاميرات الأحداث في هذا العمل. تم اثبات أن استخدام الشبكات العصبية العميقة وكاميرات الأحداث لحل مشكلة التدفق البصري يحقق نتائج افضل. يركز هذا العمل على بناء نظام E-RAFT ومحاكاته. يتم تحسين النظام من خلال تحسين الشبكة. أخيرًا ، تمت مناقشة استخدام الTransformers لتقدير مشكلة التدفق البصري، مع إظهار النتائج المتوقعة، متبوعة بنتائج هذه التجربة. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issued also as CD |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Vision |
| Source of heading or term | qmark |
| 653 #0 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Computer Vision |
| -- | Optical Flow |
| -- | Event Cameras |
| -- | Deep Learning |
| -- | Recurrent Neural Networks |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Amr Galaleldin Ahmed Wassal |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2023 |
| Supervisory body | Amr Galaleldin Ahmed Wassal |
| Discussion body | Magda Bahaa Eldin Fayek |
| -- | Reda Abdul-Wahab Ahmed El-Khoribi |
| Universities | Cairo University |
| Faculties | Faculty of Engineering |
| Department | Department of Computer Engineering |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Huda |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 15.04.2024 | 88221 | Cai01.13.06.M.Sc.2023.Al.E | 01010110088221000 | 15.04.2024 | 15.04.2024 | Thesis |