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Pregled bibliografske jedinice broj: 700674

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Autori: Križaj, Janez; Štruc, Vitomir; Dobrišek, Simon; Marčetić, Darijan; Ribarić, Slobodan
Naslov: SIFT vs. FREAK: Assessing the Usefulness of Two Keypoint Descriptors for 3D Face Recognition
Izvornik: BiForD - Special Session on Biometrics, Forensics, De-identification and Privacy Protection / Ribarić, Slobodan (ur.). - Rijeka : Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO , 2014. 123-128 (ISBN: 978-953-233-079-3).
ISSN: 1847-3938
Skup: BiForD - International Conference on Biometrics, Forensics, De-identification and Privacy Protection
Mjesto i datum: Opatija, Croatia, 29-30.05.2014.
Ključne riječi: SIFT; FREAK
Sažetak:
Many techniques in the area of 3D face recognition rely on local descriptors to characterize the surface-shape information around points of interest (or keypoints) in the 3D images. Despite the fact that a lot of advancements have been made in the area of keypoint descriptors over the last years, the literature on 3D-face recognition for the most part still focuses on established descriptors, such as SIFT and SURF, and largely neglects more recent descriptors, such as the FREAK descriptor. In this paper we try to bridge this gap and assess the usefulness of the FREAK descriptor for the task for 3D face recognition. Of particular interest to us is a direct comparison of the FREAK and SIFT descriptors within a simple recognition framework. To evaluate our framework with the two descriptors, we conduct 3D face recognition experiments on the challenging FRGCv2 and UMBDB databases and show that the FREAK descriptor ensures a very competitive verification performance when compared to the SIFT descriptor, but at a fraction of the computational cost. Our results indicate that the FREAK descriptor is a viable alternative to the SIFT descriptor for the problem of 3D face recognition and due to its binary nature is particularly useful for real-time recognition systems and recognition techniques for low-resource devices such as mobile phones, tablets and alike.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: VIF2013-26, 036-0361935-1954
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Upisao u CROSBI: Darijan Marčetić (Darijan.Marcetic@fer.hr), 9. Lip. 2014. u 15:15 sati



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