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Face recognition systems (FRS) exhibit significant accuracy differences based on the user's gender. Since such a gender gap reduces the trustworthiness of FRS, more recent efforts have tried to find the causes. However, these studies make…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Paul Jonas Kurz , Haiyu Wu , Kevin W. Bowyer , Philipp Terhörst

Quality scores provide a measure to evaluate the utility of biometric samples for biometric recognition. Biometric recognition systems require high-quality samples to achieve optimal performance. This paper focuses on face images and the…

Computer Vision and Pattern Recognition · Computer Science 2021-10-25 Biying Fu , Cong Chen , Olaf Henniger , Naser Damer

In an era where the global population is aging significantly, cognitive impairments among the elderly have become a major health concern. The need for effective assistive technologies is clear, and facial recognition systems are emerging as…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Li He

Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness. Template handcrafted features have shown excellent…

Computer Vision and Pattern Recognition · Computer Science 2018-07-20 Peng Gao , Yipeng Ma , Chao Li , Ke Song , Fei Wang , Liyi Xiao

Face tracking serves as the crucial initial step in mobile applications trying to analyse target faces over time in mobile settings. However, this problem has received little attention, mainly due to the scarcity of dedicated face tracking…

Computer Vision and Pattern Recognition · Computer Science 2019-01-23 Yiming Lin , Shiyang Cheng , Jie Shen , Maja Pantic

Although face analysis has achieved remarkable improvements in the past few years, designing a multi-task face analysis model is still challenging. Most face analysis tasks are studied as separate problems and do not benefit from the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-16 Haomiao Sun , Mingjie He , Shiguang Shan , Hu Han , Xilin Chen

Face recognition under extreme head poses is a challenging task. Ideally, a face recognition system should perform well across different head poses, which is known as pose-invariant face recognition. To achieve pose invariance, current…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Patrik Mesec , Alan Jović

Person re-identification is critical in surveillance applications. Current approaches rely on appearance based features extracted from a single or multiple shots of the target and candidate matches. These approaches are at a disadvantage…

Computer Vision and Pattern Recognition · Computer Science 2016-04-04 Mengran Gou , Xikang Zhang , Angels Rates-Borras , Sadjad Asghari-Esfeden , Mario Sznaier , Octavia Camps

The fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication. To improve accuracy and privacy protection, biometric information of multiple characteristics can be fused at…

Cryptography and Security · Computer Science 2023-01-18 Christian Rathgeb , Benjamin Tams , Johannes Merkle , Vanessa Nesterowicz , Ulrike Korte , Matthias Neu

One-sided facial paralysis causes uneven movements of facial muscles on the sides of the face. Physicians currently assess facial asymmetry in a subjective manner based on their clinical experience. This paper proposes a novel method to…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Abu Md Niamul Taufique , Andreas Savakis , Jonathan Leckenby

Gaze and face tracking algorithms have traditionally battled a compromise between computational complexity and accuracy; the most accurate neural net algorithms cannot be implemented in real time, but less complex real-time algorithms…

Computer Vision and Pattern Recognition · Computer Science 2017-11-21 George He , Sami Oueida , Tucker Ward

Conventional multi-object tracking (MOT) systems are predominantly designed for pedestrian tracking and often exhibit limited generalization to other object categories. This paper presents a generalized tracking framework capable of…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Hamidreza Hashempoor , Yu Dong Hwang

The goal of multi-object tracking is to detect and track all objects in a scene while maintaining unique identifiers for each, by associating their bounding boxes across video frames. This association relies on matching motion and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Momir Adžemović , Predrag Tadić , Andrija Petrović , Mladen Nikolić

In this paper, a part-based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front-facing…

Computer Vision and Pattern Recognition · Computer Science 2017-04-10 Upal Mahbub , Vishal M. Patel , Deepak Chandra , Brandon Barbello , Rama Chellappa

Contemporary face detection algorithms have to deal with many challenges such as variations in pose, illumination, and scale. A subclass of the face detection problem that has recently gained increasing attention is occluded face detection,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-19 Sahel Mohammad Iqbal , Danush Shekar , Subhankar Mishra

Face recognition systems have to deal with large variabilities (such as different poses, illuminations, and expressions) that might lead to incorrect matching decisions. These variabilities can be measured in terms of face image quality…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Philipp Terhörst , Malte Ihlefeld , Marco Huber , Naser Damer , Florian Kirchbuchner , Kiran Raja , Arjan Kuijper

Face analysis is a core part of computer vision, in which remarkable progress has been observed in the past decades. Current methods achieve recognition and tracking with invariance to fundamental modes of variation such as illumination, 3D…

Computer Vision and Pattern Recognition · Computer Science 2018-03-12 Grigorios G. Chrysos , Paolo Favaro , Stefanos Zafeiriou

We present in this paper a biometric system of face detection and recognition in color images. The face detection technique is based on skin color information and fuzzy classification. A new algorithm is proposed in order to detect…

Computer Vision and Pattern Recognition · Computer Science 2009-07-30 Yousra Ben Jemaa , Sana Khanfir

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and identical procedure. In…

Computer Vision and Pattern Recognition · Computer Science 2014-03-24 V. Karthikeyan , K. Vijayalakshmi , P. Jeyakumar

Facial recognition is fundamental for a wide variety of security systems operating in real-time applications. In video surveillance based face recognition, face images are typically captured over multiple frames in uncontrolled conditions;…

Computer Vision and Pattern Recognition · Computer Science 2022-11-08 Eker Onur , Bal Murat