Naslov
SIFT vs. FREAK: Assessing the Usefulness of Two Keypoint Descriptors for 3D Face Recognition

Autori
Križaj, Janez ; Štruc, Vitomir ; Dobrišek, Simon ; Marčetić, Darijan ; Ribarić, Slobodan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
BiForD - Special Session on Biometrics, Forensics, De-identification and Privacy Protection / Ribarić, Slobodan - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2014, 123-128

ISBN
978-953-233-079-3

Skup
BiForD - International Conference on Biometrics, Forensics, De-identification and Privacy Protection

Mjesto i datum
Opatija, Hrvatska, 29.05.2014. - 30.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA