The Computer Vision and Pattern Recognition Group conducts research and invents technologies that result in commercial products that
enhance the security, health and quality of life of individuals the world over.
We leverage USF's strengths in Video and Image Analysis Technology, Biometric Technology, Classification and Knowledge Discovery, Affective Computing , VR/AR, HCI, and Medical Data Analysis Technology to impact:
Quality of Life: Automated interpretation of sign language to improve communication with the handicapped, understanding the formation of red tide leading to methods of prevention or amelioration, automated system to detect and prevent collision of vehicles, algorithms for automated video analysis to enable content indexing and search, prediction of autism in children, analysis of pain and stress in soldiers.
Healthcare: Machine learning methods to spot disease outbreaks, understanding of gene expressions leading to development of early detection and treatment of diseases, analysis of medical images, tissue classification from Magnetic Resonance images for improved diagnostics, interpretation of brain waves to interact with computers and prosthetics, assessment of pain in neonates.
Please feel free to explore our site and learn more about current and past projects, participating researchers, publications and presentations.