For over a decade, Kriegman-Belhumeur Vision Technology (KBVT) has provided select customers with cutting-edge facial recognition software. Drawing on the expertise of Professor David Kriegman, UCSD, and Professor Peter Belhumeur, Columbia University, KBVT has defined reliability and innovation in computer vision.

Peter Neil BelhumeurPeter N. Belhumeur is currently a Professor in the Department of Computer Science at Columbia University and the Director of the Laboratory for the Study of Visual Appearance. He received a Sc.B. in Information Sciences from Brown University in 1985. He received his Ph.D. in Engineering Sciences from Harvard University under the direction of David Mumford in 1993. He was a postdoctoral fellow at the University of Cambridge’s Isaac Newton Institute for Mathematical Sciences in 1994. He was made Assistant, Associate and Professor of Electrical Engineering at Yale University in 1994, 1998, and 2001, respectively. He joined Columbia University as a Professor of Computer Science in 2002.

His research focus lies somewhere in the mix of computer vision, face recognition, and applications of machine learning to visual recognition. His papers have more than 21,000 citations to date. His work has been featured numerous times in the New York Times, on National Public Radio, and the Associated Press. He is a recipient of the Presidential Early Career Award for Scientists and Engineers and the National Science Foundation Career Award. He won the Siemens Best Paper Award at the 1996 IEEE Conference on Computer Vision and Pattern Recognition, the Olympus Prize at the 1998 European Conference of Computer Vision, and the Everingham Prize at 2012 British Machine Vision Conference. In October 2011, he received the Edward O. Wilson Biodiversity Pioneer Award, given to individuals who have significantly contributed to the preservation of biodiversity on Earth. Finally, he is a creator of the iOS apps Leafsnap and Birdsnap, apps that lets users (more than one million to date) identify tree and bird species from images.

David Kriegman received a B.S.E. summa cum laude in Electrical Engineering and Computer Science from Princeton University in 1983 and an M.S. in 1984 and Ph.D. in 1989 in Electrical Engineering from Stanford University.  Since 2002, he has been a Professor of Computer Science and Engineering in the Jacobs School of Engineering at the University of California, San Diego. Prior to joining UCSD, he was an Assistant and Associate Professor of Electrical Engineering and Computer Science at Yale University (1990-1998) and an Associate Professor with the Computer Science Department and Beckman Institute at the University of Illinois at Urbana-Champaign (1998-2002).  In 2004, he co-founded Kriegman-Belhumeur Vision Technologies, LLC (KBVT) to advance face recognition technology.  Kriegman was founding CEO of Taaz, Inc, the leader in photorealistic virtual try on, providing solutions for major brands, retailers, and media companies.

Kriegman’s research is centered in computer vision with particular application to face recognition, robotics, computer graphics, machine learning, computational photography and scientific applications.  Kriegman was chosen for a National Science Foundation Young Investigator Award, and has received best paper awards at the 1996 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), the 1998 European Conference on Computer Vision (ECCV), and the  2007 International Conference on Computer Vision (Marr Prize, runner up) as well as the 2003 Paper of the Year Award from the Journal of Structural Biology.   He has served as Program Co-chair of CVPR 2000, General Co-chair of CVPR 2005, and Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence from 2005-2008.  He is particularly interested in applying computer vision for the study and conservation of coral reefs, and has served on the NOAA Automatic Image Analysis Strategic Initiative.