CRCV Brochure The common goal and purpose of the center is to strongly promote basic research in computer vision and its applications in all related areas including National Defense & Intelligence, Homeland Security, Environment Monitoring, Life Sciences and Biotechnology and Robotics. The Mission of CRCV is to: Be the world class leader in research, commercialization, scholarship and education in computer vision Conduct fundamental and applied research upon which future Computer Vision industries can be built. Provide highest quality education and research experience in computer vision at all levels from K-12 to undergraduate to doctoral and postdoctoral levels to develop a highly skilled workforce for Florida’s economic development, CRCV History The science of electronically acquiring, analyzing and understanding images in ways superior to the human brain will be the focus of a new research center at the University of Central Florida. The Center for Research in Computer Vision, or CRCV, will be led by Mubarak Shah, UCF’s expert in the field, and report to the Office of Research & Commercialization. Shah specializes in developing the theory and algorithms used for such disparate tasks as scanning crowd scenes for suspicious people, analyzing brain scans for tumors, indexing and effectively searching a large database of images and videos, and triggering a warning when a car or person approaches a railroad crossing when a train is near. Research Since 1986 Shah has run UCF’s computer vision laboratory which has trained hundreds of students in the science behind computer vision and its use in crowd surveillance, visual tracking, human behavior analysis, determining a geo-spatial location of an image using only the contents of the image contents, unmanned aerial video analysis and bio-medical image analysis. Events News PhD Students Final Examination Announcement Announcing the Final Examination of Rui Hou for the degree of Doctor of Philosophy in Computer Science Date: 26 June 2019 11:00 A.M. Location: HEC 103… Research Capsule Networks for Computer Vision – CVPR 2019 Tutorial A capsule network provides an effective way to model part-to-whole relationships between entities and allows to learn viewpoint invariant representations. Through this improved representation learning,… Research Best Research Paper Award in “The Smart Conference” Enes Karaaslan, Ulas Bagci and Necati Catbas received the Best Research Paper Award for their paper on “Smart Infrastructure Assessment Using Mixed Reality and Artificial… More News Stories
