T
Terrance E. Boult
Researcher at University of Colorado Colorado Springs
Publications - 285
Citations - 13190
Terrance E. Boult is an academic researcher from University of Colorado Colorado Springs. The author has contributed to research in topics: Facial recognition system & Biometrics. The author has an hindex of 51, co-authored 274 publications receiving 10853 citations. Previous affiliations of Terrance E. Boult include Columbia University & King Abdulaziz University.
Papers
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Book ChapterDOI
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
TL;DR: In this paper, a mixed objective optimization network (MOON) is proposed to address the multi-label imbalance problem by introducing a loss function that mixes multiple task objectives with domain adaptive re-weighting of propagated loss.
Proceedings ArticleDOI
The eyes have it
Terry Riopka,Terrance E. Boult +1 more
TL;DR: Results suggest that significant gains in recognition accuracy may be achieved by focussing more effort on the eye localization stage of the face recognition process.
Proceedings ArticleDOI
Revocable fingerprint biotokens: accuracy and security analysis
TL;DR: This paper adapts a recently introduced approach that separates each datum into two fields, one of which is encoded and one which is left to support the approximate matching to enhance an existing fingerprint system.
Proceedings Article
Reducing Network Agnostophobia
TL;DR: This paper introduces a new evaluation metric that focuses on comparing the performance of multiple approaches in scenarios where such unseen classes or unknowns are encountered, and develops novel loss functions that train networks using negative samples from some classes.
Proceedings ArticleDOI
Factorization-based segmentation of motions
TL;DR: In this article, the authors address the problem of motion segmentation using the singular value decomposition of a feature track matrix and show that, under general assumptions, the number of numerically nonzero singular values can be used to determine the count of motions.