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 Apr 26 2:30 pm VoxelMorph: Unsupervised learning for fast probabilistic diffeomorphic registration Speaker: Mert R. Sabuncu From: Cornell University Abstract In this talk, I will present VoxelMorph - a fast learning-based framework for deformable, pairwise image registration. Traditional registration methods optimize an objective function for each pair of images, which can be time-consuming for large datasets… News Research UCF’s 30-Year REU Site in Computer Vision Communications of the ACM’s article about UCF’s 30-year REU site in Computer Vision. Please read the article here. Spotlight UCF-QNRF – A Large Crowd Counting Data Set Automatic counting and localizing in dense crowd scenes has significant importance from socio-political and safety perspective. Crowds gather around the world in a variety of… PhD Students Final Examination Announcement Announcing the Final Examination of Yicong Tian for the degree of Doctor of Philosophy in Computer Science Date: 25 October, 2018 12:30 P.M. Location: CREOL 103… More News Stories
