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20202024
most citedFaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2025

Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4)

Gavin Jager, David Cornett, Gavin Glenn +21

The state-of-the-art in biometric recognition algorithms and operational systems has advanced quickly in recent years providing high accuracy and robustness in more challenging col…

cs.CV2024

Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions

Deniz Aykac, Joel Brogan, Nell Barber +10

The considerable body of data available for evaluating biometric recognition systems in Research and Development (R\&D) environments has contributed to the increasingly common prob…

cs.CV2024

From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric Recognition Algorithms at Altitude and Range

David S. Bolme, Deniz Aykac, Ryan Shivers +5

This paper examines covariate effects on fused whole body biometrics performance in the IARPA BRIAR dataset, specifically focusing on UAV platforms, elevated positions, and distanc…

cs.CV2022

Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset

David Cornett, Joel Brogan, Nell Barber +20

Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning…

cs.CV20221 cited

FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems

Joel Brogan, Nell Barber, David Cornett +1

Recent global growth in the interest of smart cities has led to trillions of dollars of investment toward research and development. These connected cities have the potential to cre…

cs.CV2020

The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition

Max Ruby, David S. Bolme, Joel Brogan +7

Face recognition of vehicle occupants through windshields in unconstrained environments poses a number of unique challenges ranging from glare, poor illumination, driver pose and m…