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Title:
Razpoznavanje obraza z lasersko in radarsko tehniko : magistrsko delo
Authors:
ID
Jahiri, Arben
(
Author
)
ID
Gleich, Dušan
(
Mentor
)
More about this mentor...
Files:
MAG_Jahiri_Arben_2021.pdf
(3,91 MB)
MD5: 12C212328BB531F39D7D2203A2A2D0F1
PID:
20.500.12556/dkum/b46356ef-0beb-45fa-8f73-7ff79e05172c
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V magistrskem delu je opisan in predstavljen postopek zaznave in razpoznave obraza s pomočjo radarske in laserske tehnike. V prvem delu je opisano delovanje radarja in predstavljeni postopki postavitev tarč v vidno območje radarja ter procesiranje signalov za pridobitev končne slike. V drugem delu je prikazan postopek zajemanja slik zaznanih obrazov s Kinectom in učenje modela s Siamsko nevronsko mrežo za razpoznavanje obrazov. V sklepu so predstavljeni rezultati raziskave in preverjanja zaznave ter razpoznave obraza z radarjem in s Kinectom.
Keywords:
Frekvenčno moduliran radar s kontinuiranim signalom
,
radar z umetno odprtino
,
MATLAB
,
Kinect
,
zaznava in razpoznava obraza
,
Siamska nevronska mreža
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[A. Jahiri]
Year of publishing:
2021
Number of pages:
IX, 97 str.
PID:
20.500.12556/DKUM-80050
UDC:
621.396:004.93\'1(043.2)
COBISS.SI-ID:
89845251
Publication date in DKUM:
18.10.2021
Views:
1150
Downloads:
76
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
27.08.2021
Secondary language
Language:
English
Title:
Face recognition using lidar and radar techniques
Abstract:
The master's thesis describes and presents the process of face detection and recognition using radar and lidar techniques. The first part describes the operation of the radar and presents the procedures for placing targets in the visible area of the radar and processing signals to obtain the final image. The second part shows the process of capturing images of perceived faces with Kinect and training of the model with Siamese neural network for face recognition. The conclusion presents the results of research and verification of face detection and recognition with radar and Kinect.
Keywords:
Frequency modulated continuous wave radar
,
Synthetic aperture radar
,
MATLAB
,
Kinect
,
Face detection and recognition
,
Siamese neural network
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