Pregled bibliografske jedinice broj: 833608
Deformable Part-based Robust Face Detection under Occlusion by Using Face Decomposition into Face Components
Deformable Part-based Robust Face Detection under Occlusion by Using Face Decomposition into Face Components // Proceedings of the 39th International Convention MIPRO 2016 / Biljanović, Petar (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016. str. 1365-1370 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Deformable Part-based Robust Face Detection under Occlusion by Using Face Decomposition into Face Components
Autori
Marčetić, Darijan ; Ribarić, Slobodan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 39th International Convention MIPRO 2016
/ Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016, 1365-1370
ISBN
978-953-233-087-8
Skup
MIPRO 2016 Special Session on Biometrics, Forensics, De-Identification and Privacy Protection /BiForD
Mjesto i datum
Rijeka, Hrvatska, 31.05.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Robust Face Detection; Occlusion; Deformable Part-based Model; Face Components
Sažetak
In this paper, we propose modifications of deformable part-based models in order to increase the robustness of face detection under occlusion. The modifications are: i) the tree, representing the deformable part-based model of the frontal face, which is partitioned into 11 subtrees representing face components ; ii) the weight of each face component which is obtained based on the results of psychological experiments ; iii) the introduction of new scoring functions and thresholds ; and iv) a new procedure for robust face detection based on the valuation of scoring functions and thresholds. The experiment was performed only for frontal face images, and thus this work is used only as a proof of concept. Based on the encouraging experimental results, we conclude that the proposed method is suitable for extension to detect faces with different poses under occlusions.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-6733 - Zaštita privatnosti deidentifikacijom u nadzornim sustavima (DePPSS) (Ribarić, Slobodan, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb