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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Journal ArticleDOI
Good recognition is non-metric
TL;DR: This review paper reconsiders the assumption of recognition as a pair-matching test, and introduces a new formal definition that captures the broader context of the problem, including how often metric properties are violated by recognition algorithms.
Book ChapterDOI
Component Fusion for Face Detection in the Presence of Heteroscedastic Noise
TL;DR: In this paper, the authors show that this uncertainty carries important information that, when exploited, leads to increased face localization accuracy, and discuss and compare possible solutions taking into account geometrical constraints.
Proceedings ArticleDOI
Unconstrained Face Detection and Open-Set Face Recognition Challenge.
Manuel Günther,Peiyun Hu,Christian Herrmann,Chi-Ho Chan,Min Jiang,Shufan Yang,Akshay Raj Dhamija,Deva Ramanan,Jürgen Beyerer,Josef Kittler,Mohamad Al Jazaery,Mohammad Iqbal Nouyed,Guodong Guo,Cezary Stankiewicz,Terrance E. Boult +14 more
TL;DR: In this paper, the authors address the next step in the direction of automatic detection and identification of people from outdoor surveillance cameras, and show that unconstrained face detection can approach high detection rates albeit with moderate false accept rates.
Posted Content
Good Recognition is Non-Metric
TL;DR: In this article, the authors consider multi-class training data and large sets of features in a learning context and make the case that locally metric algorithms should leverage outside information to solve the general recognition problem.
Proceedings ArticleDOI
Face and eye detection on hard datasets
Jon Parris,Michael J. Wilber,Brian Heflin,Ham Rara,Ahmed El-Barkouky,Aly A. Farag,Javier R. Movellan,Modesto Castrilon-Santana,Javier Lorenzo-Navarro,Mohammad Nayeem Teli,Sébastien Marcel,Cosmin Atanasoaei,Terrance E. Boult +12 more
TL;DR: This paper analyzes the detection and localization performance of the participating face and eye algorithms compared with the Viola Jones detector and four leading commercial face detectors and finds that the groups/companies focusing on long-range face detection outperform leading commercial applications.