Our faculty member Prof. Kasturi, 2008 President of the IEEE Computer Society, presented in IEEE 125th Anniversary. Full video
The Computer Vision and Pattern Recognition Group Invents Technologies Resulting in Commercial Products that Enhance the Security, Health and Quality of Life.
We leverage USF's strengths in Video and Image Analysis Technology, Biometric Technology, Classification and Knowledge Discovery, and Medical Data Analysis Technology to impact:
Domestic Security: Early detection and identification of suspicious activities, authentication of persons prior to permitting access to secure facilities, automated analysis of surveillance video for abnormal patterns, automated monitoring of coastal waters.
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.
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.
Please feel free to explore our site and learn more about current and past projects, participating researchers, publications and presentations.
|•||Machine vision   Cites: 1400|
|•||A Comparison of Range Image Segmentation Algorithms   Cites: 490|
|•||A robust algorithm for text string separation from mixed text/graphics images   Cites: 382|
|•||Performance characterization of video-shot-change detection methods   Cites: 290|
|•||A robust visual method for assessing the relative performance of edge-detection    Cites: 269|