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"We are currently working in the area of controlled active vision, which is at the interface between control and computer vision. In particular, we have been conducting research on the development of novel techniques for employing visual information in control systems. This effort is leading to enhanced man-machine interfaces for interactions with computers and more complicated systems such as remote controlled weapons and vehicles. Our approach is based on our work in robust control as well as the new paradigm we have been developing for various problems in image processing and computer vision utlilizing the theory of geometric invariant evolution equations. Besides the control applications, these techniques are already being applied in medical imaging (MRI, CT, and ultrasound), as well as shape and object recognition problems (e.g., automatic target recognition). A major goal of our program is to ensure that our research is directly driven by applications, so that our results have a direct impact on industrial, military, and medical imaging problems." |
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Graduate
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