Face recognition and analysis

The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries and is approaching approximately 101,917,147 cases worldwide according to the statistics of World Health Organization. There are a limited number of COVID-19 test kits available in h…

• ALİ NARİN
• CEREN KAYA
• ZİYNET PAMUK

No abstract yet.

Metric learning aims to measure the similarity among samples while using an optimal distance metric for learning tasks. Metric learning methods, which generally use a linear projection, are limited in solving real-world problems demonstrating non-linear characteristics. Kernel approaches are utilized in metric learnin…

• HASAN ŞAKİR BİLGE
• MAHMUT KAYA

We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual's face, not just a single image, so recognition decisions need to be based on comparisons of image sets. Methods for this have two main aspects: the models used to represe…

Face recognition constitutes a relatively a popular area which has emerged from the rulers of the social media to top universities in the world. Those frontiers and rule makers recently designed deep learning based custom face recognition models. A modern face recognition pipeline consists of four common stages: detec…

The problem of detecting face spoofing attacks (presentation attacks) has recently gained a well-deserved popularity. Mainly focusing on 2D attacks forged by displaying printed photos or replaying recorded videos on mobile devices, a significant portion of these studies ground their arguments on the flatness of the sp…

Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still an open security issue in biometrics domain and among all biometric traits, face is exposed to the most serious threat, since i…

• NESLİ ERDOĞMUŞ

Facial attribute analysis from facial images has always been a challenging task. Its practical use cases are very different. This paper mentioned how to build machine learning models with facial image data for age, gender, facial expression, and race/ethnicity prediction tasks. A fully coded open-source software frame…

We describe an algorithm for detecting human faces and facial features, such as the location of the eyes, nose and mouth. First, a supervised pixel-based color classifier is employed to mark all pixels that are within a prespecified distance of “skin color”, which is computed from a training set of skin patches. This…

• AHMET MURAT TEKALP

No abstract yet.

• ÇİĞDEM EROĞLU ERDEM
• MURAT TAŞKIRAN

Closed-circuit television cameras used today for surveillance sometimes enable privacy intrusion. The authors' privacy console manages operator access to different versions of video-derived data according to access-control lists. Additionally, their PrivacyCam is a smart camera that produces a video stream with privac…

Convolutional neural network (CNN) based approaches are the state of the art in various computer vision tasks including face recognition. Considerable research effort is currently being directed toward further improving CNNs by focusing on model architectures and training techniques. However, studies systematically ex…

• HAZIM KEMAL EKENEL