Biography page for Ross Beveridge

Curriculum Vita

Curriculum Vita (last update 2/22/17). Google Scholar Profile

One Paragraph Bio. (last updated 6/14/2017)

Professor Beveridge works on Computer Vision, emphasizing problems relating to recognition and understanding. As computer vision plays an ever more important role in the development of agents, it is clear that blind agents will fall by the wayside as everyday helpers; replaced by agents able to recognize us on sight, respond accordingly to our expressions and gestures, and most important discuss a shared understanding of the objects both they and we can see. Professor Beveridge's current work on how computers may better communicate with people through sight, gesture and language draws upon past work in video understanding, human face recognition and object recognition. Algorithm evaluation is one key part of this past work, including face recognition in video, and older legacy work supplying open source tools such as the CSU Face Identification Evaluation System. This legacy system, release in 2001, has been downloaded over 24,000 times since its introduction in 2001. As a teaching tool, in 2009 an open source live video face recogntion system, FaceL, was released to the web that incorporates new innovations in the development of correlation filters. Professor Beveridge's other interests include high dimensional data analysis, optimal matching of geometric features, genetic algorithms and the use of reconfigurable embedded hardware. Professor Beveridge maintains a set of web tools for deploying public-facing course websites.

Short Bio. (last updated 3/10/2017)

J. Ross Beveridge received his B.S. degree in Applied Mechanics and Engineering Science from the University of California at San Diego in 1980 and his M.S. and Ph.D. degrees in Computer Science from the University of Massachusetts in 1987 and 1993 respectively. He has been in the Computer Science Department at Colorado State University since 1993, where he was an Assistant Professor from 1993 to 2000, an Associate Professor from 2000 to 2010, and where he is currently a Full Professor.

Dr. Beveridge is a member of the IEEE Computer Society as well as the ACM. He has served as an Associate Editor for the IEEE Transactions on Pattern Recognition and Machine Intelligence (PAMI), Pattern Recognition and Image and Vision Computing. He is General Co-Chair for The International Joint Conference on Biometrics being held in Denver, Colorado in October 2017. He was Program Co-Chair for the 2015 IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems He was Program Co-Chair for the 1999 IEEE Conference on Computer Vision and Pattern Recognition and frequently serves on numerous workshop and conference Program Committees. He has received Outstanding Reviewer awards in 2007 and 2008 from the organizers of the IEEE Conference on Computer Vision and Pattern Recognition. He is the author of over 100 publications in computer vision and related fields.

Dr. Beveridge's most recent research focus is on the role of vision to improve how computers and humans communicate and jointly solve problems. This work is being carried out as part DARPA's Communicating with Computers program. Past accomplishments include playing a key role in constructing and making public the Point-and-Shoot Face Recognition Challenge (PaSC) and releasing reference implementations of standard human face recognition algorithms. This work dates back to the release in 2001 of the CSU Face Identification Evaluation System, an open source tool that has been downloaded over 24,000 times since its introduction in 2001.

Dr. Beveridge, working with colleagues Bruce Draper, Dr. Geof Givens in Statistics and P. Jonathon Phillips at NIST, pioneered evaluation protocols for face recognition that included covariate analysis and demonstrated these protocols on state-of-the-art face recognition algorithms. Dr. Beveridge's PhD student, David Bolme, released in 2009 an open source face recognition system, FaceL, that is still available for download and may be used to illustrate face labeling over a live video stream.

From 1993 through 1998, Dr. Beveridge developed novel 3D object recognition algorithms that fused sensor data through a 3D model and iteratively refine an instantiated scene model through repeated rendering and matching between images and model. In the context of Automatic Target Recognition, these algorithms were tested against a data set jointly collected by Colorado State and Lockheed Martin. This "Fort Carson Data Set" was the first ever publicly release data of military vehicles simultaneously recorded in thermal, visible light and depth/LADA.

Other past areas of research include optimal matching of geometric features, genetic algorithms and evolutionary computation, the use of reconfigurable embedded hardware for image processing, behavior learning for unmanned air vehicles and severe weather prediction in GOES-R sounder data.

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