Intelligent Signal Systems Laboratory at the University of Dayton is a world class research laboratory in image processing and computer vision. Our research focuses on three areas: physical and statistical modeling of image sensors, algorithmic development for exploitation of image data, and making meaningful inferences on the observed scene. The principal investigator is Keigo Hirakawa, an associate professor at the University of Dayton. Research at ISSL is aimed at understanding the increasingly large role that signal systems play in the real-world. We connect the applied design efforts with the first principle ideas of mathematics and statistics to enable new capabilities in image processing and computer vision.
Research activities at ISSL is made possible in part by grants and sponsorships from National Science Foundation, Air Force Research Laboratory, Institute for Development and Commercialization of Advanced Sensor Technology, Japan Institute of Information and Communication Technology, Cisco, Ford Research, Texas Instruments, Sony Electronics, Samsung Research.
Statistical Signal Processing
Signal processing and statistics are key tools for information discovery. We accelerate nonlinear filters and develop powerful models that enable detection, prediction, and estimation.