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Raffoul Masters_Thesis__final format approved LW 5-22-20.pdf (1.41 MB)
ETD Abstract Container
Abstract Header
Blob Feature Extraction for Event Detection Cameras
Author Info
Raffoul, Joseph Naim
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1590165017029087
Abstract Details
Year and Degree
2020, Master of Science in Electrical Engineering, University of Dayton, Electrical and Computer Engineering.
Abstract
Neuromorphic (a.k.a. event detection) cameras emerged out of biologically inspired visual perception. A key component of neuromorphic cameras is the dynamic vision sensor or DVS, which generates an asynchronous data stream reporting temporal log-intensity changes (or “events”) of the pixel-sized photodiodes. In this thesis a novel blob feature extraction technique for neuromorphic cameras is proposed. Using asynchronous 3D distance transform, we are able to track a blob, describe its size/shape/orientation, efficiently match the feature descriptors, and perform image correspondence across multiple neuromorphic cameras.
Committee
Keigo Hirakawa, Dr. (Committee Chair)
Tarek Taha, Dr. (Committee Member)
Ju Shen, Dr. (Committee Member)
Pages
39 p.
Subject Headings
Electrical Engineering
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Citations
Raffoul, J. N. (2020).
Blob Feature Extraction for Event Detection Cameras
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1590165017029087
APA Style (7th edition)
Raffoul, Joseph.
Blob Feature Extraction for Event Detection Cameras.
2020. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1590165017029087.
MLA Style (8th edition)
Raffoul, Joseph. "Blob Feature Extraction for Event Detection Cameras." Master's thesis, University of Dayton, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1590165017029087
Chicago Manual of Style (17th edition)
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Document number:
dayton1590165017029087
Download Count:
645
Copyright Info
© 2020, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.