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Title:POHITRITEV POSTOPKA ZA LOKALIZIRANJE OBRAZOV IZ KNJIŽNICE OPENCV NA OPERACIJSKEM SISTEMU ANDROID
Authors:ID Špringar, Boris (Author)
ID Potočnik, Božidar (Mentor) More about this mentor... New window
ID Cigale, Boris (Comentor)
Files:.pdf VS_Springar_Boris_2015.pdf (2,42 MB)
MD5: 17BA9D99EC6E2C6D0DB6DD6448BE070A
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo se ukvarjali s pohitritvijo postopkov za lokaliziranje obrazov. Pregledno smo predstavili obstoječe algoritme za zaznavanje obrazov iz knjižnice OpenCV. V praktičnem delu naloge smo spremenili osnovni algoritem za zaznavanje obrazov iz knjižnice OpenCV, prirejen za mobilne naprave z operacijskim sistemom Android, da algoritem za ceno manjše natančnosti deluje hitreje. Osnovni algoritem je splošen in se lahko uporablja na vseh napravah, ki podpirajo izvajanje kode C++. Zaradi želje po splošnosti se algoritem lahko izvaja na različnih napravah, a delovanje tega algoritma na nobeni ni posebej hitro. V diplomskem delu smo ta algoritem spremenili iz splošno namenskega v specifičnega tako, da smo mu odvzeli določene manj pomembne funkcionalnosti, priredili kodo za naprave Android, ob tem pa smo optimizirali še hitrost izvajanja, vse na račun malenkostnega zmanjšanja natančnosti lokaliziranja obrazov. Eksperimentalni rezultati so pokazali, da s prilagajanjem algoritma ciljni napravi takšen algoritem deluje bistveno hitreje (do 13 ms hitreje kot izvirni algoritem pri lokaliziranju obrazov na enem posnetku) na račun zmanjšanja uspešnosti lokaliziranja obrazov za 18 %.
Keywords:Android, knjižnica OpenCV, razvojno okolje NDK, lokaliziranje obrazov, pohitritev
Place of publishing:Maribor
Publisher:[B. Špringar]
Year of publishing:2015
PID:20.500.12556/DKUM-47286 New window
UDC:004.932(043.2)
COBISS.SI-ID:18779670 New window
NUK URN:URN:SI:UM:DK:YQQWO71X
Publication date in DKUM:22.05.2015
Views:1537
Downloads:197
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
ŠPRINGAR, Boris, 2015, POHITRITEV POSTOPKA ZA LOKALIZIRANJE OBRAZOV IZ KNJIŽNICE OPENCV NA OPERACIJSKEM SISTEMU ANDROID [online]. Bachelor’s thesis. Maribor : B. Špringar. [Accessed 23 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=47286
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Secondary language

Language:English
Title:ACCELERATION OF FACE LOCALIZATION ALGORITHM FROM OPENCV LIBRARY ON OPERATING SYSTEM ANDROID
Abstract:In the thesis we were working on accelerating algorithms for face localization. We reviewed existing algorithms from the open source computer vision library OpenCV. We changed the basic face detection algorithm from the OpenCV library, adapted for Android mobile devices, in such a way that the algorithm runs faster, for the price of lower accuracy. The basic algorithm is general and can be used on any device that supports C++ code execution. Because of that requirement of generality, the algorithm is indeed suitable for many devices, but its speed is lacking on all of them. In this thesis, we changed this algorithm from a general algorithm to a more specific one, by removing some functionalities, adapting the code for Android devices and optimizing its speed in exchange for marginally smaller face detection rate. Experimental results pointed out that we can significantly improve the speed of the algorithm by adapting it to the target device (we gained by face localization up to 13 ms with respect to the original algorithm), for the price of 18% reduction in face detection rate.
Keywords:Android, OpenCV library, NDK development kit, face localization, acceleration


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