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The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice. A particularly attractive advantage of IR-based over conventional, visible spectrum-based face…

Computer Vision and Pattern Recognition · Computer Science 2014-07-29 Reza Shoja Ghiass , Ognjen Arandjelovic , Hakim Bendada , Xavier Maldague

Mobile biometric approaches provide the convenience of secure authentication with an omnipresent technology. However, this brings an additional challenge of recognizing biometric patterns in unconstrained environment including variations in…

Computer Vision and Pattern Recognition · Computer Science 2018-11-05 Rishabh Garg , Yashasvi Baweja , Soumyadeep Ghosh , Mayank Vatsa , Richa Singh , Nalini Ratha

With advancements in hardware, high-quality HMD devices are being developed by numerous companies, driving increased consumer interest in AR, VR, and MR applications. In this work, we present a new dataset, called VRBiom, of periocular…

Computer Vision and Pattern Recognition · Computer Science 2024-07-03 Ketan Kotwal , Ibrahim Ulucan , Gokhan Ozbulak , Janani Selliah , Sebastien Marcel

The role of soft biometrics to enhance person recognition systems in unconstrained scenarios has not been extensively studied. Here, we explore the utility of the following modalities: gender, ethnicity, age, glasses, beard, and moustache.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-25 Ester Gonzalez-Sosa , Julian Fierrez , Ruben Vera-Rodriguez , Fernando Alonso-Fernandez

It is still nontrivial to develop a new fast COVID-19 screening method with the easier access and lower cost, due to the technical and cost limitations of the current testing methods in the medical resource-poor districts. On the other…

Image and Video Processing · Electrical Eng. & Systems 2021-06-15 Yanwei Fu , Lei Zhao , Haojie Zheng , Qiang Sun , Li Yang , Hong Li , Jiao Xie , Xiangyang Xue , Feng Li , Yuan Li , Wei Wang , Yantao Pei , Jianmin Wang , Xiuqi Wu , Yanhua Zheng , Hongxia Tian Mengwei Gu1

Recognizing human affect and emotions is a problem that has a wide range of applications within both academia and industry. Affect and emotion recognition within computer vision primarily relies on images of faces. With the prevalence of…

Computer Vision and Pattern Recognition · Computer Science 2019-05-23 Elmar Langholz

Biometric technologies are the foundation of personal identification systems. It provides an identification based on a unique feature possessed by the individual. This paper provides a walkthrough for image acquisition, segmentation,…

Computer Vision and Pattern Recognition · Computer Science 2011-11-23 S. Nithyanandam , K. S. Gayathri , P. L. K. Priyadarshini

Using Low Cost Portable Eye Tracking for Biometric Identification Or Verification: Eye tracking technologies have in recent years become available outside of specialised labs, and are starting to become integrated in tablets and virtual…

Human-Computer Interaction · Computer Science 2017-05-09 Per Bækgaard , Michael Kai Petersen , Jakob Eg Larsen

Automatic identity recognition from ear images represents an active field of research within the biometric community. The ability to capture ear images from a distance and in a covert manner makes the technology an appealing choice for…

Computer Vision and Pattern Recognition · Computer Science 2019-02-04 Žiga Emeršič , Vitomir Štruc , Peter Peer

There is an increasing shift in technology towards biometric solutions, but one of the biggest barriers to widespread use is the acceptance by the users. In this paper we investigate the understanding, awareness and acceptance of biometrics…

Cryptography and Security · Computer Science 2019-05-14 Oliver Buckley , Jason R. C. Nurse

Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment. Iris recognition is proposed in this report. We describe…

Computer Vision and Pattern Recognition · Computer Science 2013-03-05 Belhassen Akrout , Imen Khanfir Kallel , Chokri Ben Amar

Cross-spectral face recognition (CFR) refers to recognizing individuals using face images stemming from different spectral bands, such as infrared versus visible. While CFR is inherently more challenging than classical face recognition due…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 David Anghelone , Cunjian Chen , Arun Ross , Antitza Dantcheva

Extreme amodal detection is the task of inferring the 2D location of objects that are not fully visible in the input image but are visible within an expanded field-of-view. This differs from amodal detection, where the object is partially…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Changlin Song , Yunzhong Hou , Michael Randall Barnes , Rahul Shome , Dylan Campbell

We propose a method for in-hand 3D scanning of an unknown object with a monocular camera. Our method relies on a neural implicit surface representation that captures both the geometry and the appearance of the object, however, by contrast…

Computer Vision and Pattern Recognition · Computer Science 2023-06-23 Shreyas Hampali , Tomas Hodan , Luan Tran , Lingni Ma , Cem Keskin , Vincent Lepetit

We address the use of selfie ocular images captured with smartphones to estimate age and gender. Partial face occlusion has become an issue due to the mandatory use of face masks. Also, the use of mobile devices has exploded, with the…

Computer Vision and Pattern Recognition · Computer Science 2021-05-06 Fernando Alonso-Fernandez , Kevin Hernandez Diaz , Silvia Ramis , Francisco J. Perales , Josef Bigun

This paper investigates the feasibility of fusing two eye-centric authentication modalities-eye movements and periocular images-within a calibration-free authentication system. While each modality has independently shown promise for user…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Dillon Lohr , Michael J. Proulx , Mehedi Hasan Raju , Oleg V. Komogortsev

Finding the eye and parsing out the parts (e.g. pupil and iris) is a key prerequisite for image-based eye tracking, which has become an indispensable module in today's head-mounted VR/AR devices. However, a typical route for training a…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Jiangfan Deng , Zhuang Jia , Zhaoxue Wang , Xiang Long , Daniel K. Du

Biometrics deal with automated methods of identifying a person or verifying the identity of a person based on physiological or behavioral characteristics. Visual cryptography is a secret sharing scheme where a secret image is encrypted into…

Cryptography and Security · Computer Science 2010-04-13 P. S. Revenkar , Anisa Anjum , W. Z. Gandhare

Global security concerns have raised a proliferation of video surveillance devices. Intelligent surveillance systems seek to discover possible threats automatically and raise alerts. Being able to identify the surveyed object can help…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Tracey K. M. Lee , Mohammed Belkhatir , Saeid Sanei

The limited capacity to recognize faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even for humans. The problem regarding occlusion is less covered by research when compared…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Dan Zeng , Raymond Veldhuis , Luuk Spreeuwers