Joseph Mundy is developing a Computer tomography (CT) analysis system for characterizing microscopic blood vessel structure in living tissue that will be applied to the rapid drug development of cancer blocking medicines. Another research thrust is automated image and video analysis for aerial reconnaissance. This research is aimed at scene description and change detection for military applications. He is also working on CMOS circuit techniques for probablistic computing at the nanoscale
Since 1963 Joe Mundy has been a technical staff member of the General Electric Research and Development Center. In 1969 he received his PhD in Electrical Engineering from Rensellaer Polytechnic Institute. His early projects at the Center include: high power microwave tube design, a super-conductive computer memory system, the design of high density associative memory arrays, the application of transform coding to image data compression and the development of an automatic inspection system for lamp filaments. From 1977 until 1982 he was Manager, Visual Information Processing Program. In this capacity he led a number of extensive efforts in the application of machine vision techniques to automatic visual inspection for quality control. In the 1980's Dr. Mundy formed a group to apply Image Understanding algorithms to aerial reconnaissance. He developed a system for aircraft recognition based on a sparse feature, called the vertex-pair, which achieved 98% recognition accuracy in a test on realistic airfield scenes. In the early 1990's, he was co-developer of a new approach to object representation and recognition based on geometric invariance. Over the last five years, he has participated in the RADIUS project, providing algorithms to the RADIUS Testbed System (RTS) which make use of the context provided by a 3D site model. These algorithms include change detection based on various levels of image segmentation and specific object structure matching. Dr. Mundy's professional activities involve active participation in the areas of pattern recognition and robotics. He was co-chairman of the workshop on industrial applications of machine vision which resulted in a special issue of the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) in 1982. He is currently on the editorial board of the International Journal on Computer Vision. He also serves on the NSF advisory board for Artificial Intelligence and Robotics (IRIS). In 1988 he was named a Coolidge Fellow, the highest technical award in GE. He completed a year sabbatical as a visiting fellow at Oxford University during 1988-89. In 1993 Dr. Mundy was co-recipient of the Marr Prize, the leading prize in the field of Computer Vision. He is chairman of DARPA's Image Understanding Environment (IUE) Committee, which has specified and is supervising the development of the IUE. For the last 3 years he has chaired the RADIUS Image Understanding Advisory Committee which has prioritized the potential IU technology sources for RADIUS.