Results 11 to 20 of about 2,180,576 (223)
The problem of face recognition is discussed. The main methods of recognition are considered. The calibrated stereo pair for the face and calculating the depth map by the correlation algorithm are used.
Olexandr N. Romanyuk +5 more
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Beyond Frontal Face Recognition
Face recognition is one of the most researched subjects in computer vision. The attention it receives is due to the complexity of the problem. Face recognition models have to deal with a wide variety of intraclass variations such as pose variations ...
Michael Joseph, Khaled Elleithy
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Face recognition technologies for evidential evaluation of video traces [PDF]
Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its ...
Li, Chang-Tsun, Wei, Xingjie
core +1 more source
Side-View Face Recognition [PDF]
Side-view face recognition is a challenging problem with many applications. Especially in real-life scenarios where the environment is uncontrolled, coping with pose variations up to side-view positions is an important task for face recognition.
Santemiz, Pinar +2 more
core +11 more sources
Chinese Face Dataset for Face Recognition in an Uncontrolled Classroom Environment
Since the position of the classroom surveillance camera is not fixed, the angle of the face captured through the surveillance video is also different. The deep learning-based face verification model has achieved good results in controlled environments ...
Nianfeng Li +6 more
doaj +1 more source
There are many ways to assess face perception skills. In this study, we describe a novel task battery FEAST (Facial Expression Action Stimulus Test) developed to test recognition of identity and expressions of human faces as well as stimulus control ...
Beatrice eDe Gelder +5 more
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The pose, illumination and facial expression discrepancies between two face images are the key challenges in face recognition. The deep Convolutional Neural Networks (CNNs) and the fast Sparse Representation-based Classification (SRC) have achieved promising results in face recognition.
Alskeini, Neamah +3 more
+6 more sources
Random-Profiles-Based 3D Face Recognition System
In this paper, a noble nonintrusive three-dimensional (3D) face modeling system for random-profile-based 3D face recognition is presented. Although recent two-dimensional (2D) face recognition systems can achieve a reliable recognition rate under certain
Joongrock Kim, Sunjin Yu, Sangyoun Lee
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Meanings, Mechanisms, and Measures of Holistic Processing
Few concepts are more central to the study of face recognition than holistic processing. Progress towards understanding holistic processing is challenging because the term holistic has many meanings, with different researchers addressing different ...
Jennifer eRichler +2 more
doaj +1 more source
Face Recognition at a Distance for a Stand-Alone Access Control System
Although access control based on human face recognition has become popular in consumer applications, it still has several implementation issues before it can realize a stand-alone access control system.
Hansung Lee +4 more
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