Mathias Kölsch
Assistant Professor
Computer Science Department
Naval Postgraduate School, Monterey, CA


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Research

Interested in making the nation a more secure place? In helping people with disabilities interact with computers and improve their means to communicate? In leveraging more computing resources at every moment of our lives? In actually devising methods and building tools that take us a step closer to achieving these goals? Then consider getting a Masters or PhD here or work on exciting projects as a software engineer or PostDoc. Check out our open positions!

Already on campus? If you like this area of research and would like to work with me, please contact me for an extensive list of projects that you might want to consider.

current projects: Click on the images for more information.

Computer Vision Research at NPS

I am re-organizing the web presence of our research group. Please visit the following link for additional projects.
http://www.movesinstitute.org/Plone/research/computer-vision

Embedded Computer Vision

Performing computer vision on PCs is extremely power hungry. Embedded vision systems achieve greater efficiency and promise mobility, possibly even higher performance. We are currently exploring these opportunities for various applications, including robot vision, networked camera systems, and vision for handheld devices.

A Common Body Gesture Description Language

There are many ways to describe human body postures and gestures in the various related fields of human-computer interaction, psychology, computer graphics and animation, motion capture, and so forth. This research investigates how these different fields can directly benefit from each other's advances by standardizing how vocabulary is introduced into a language that can serve all related disciplines.

HandVu: Vision-based Hand Gesture Recognition and User Interface

With almost any color camera and sufficient processing power, this software collection implements a hand gesture interface. HandVu detects the hand in a standard posture, then tracks it and recognizes key postures - all in real-time and without the need for camera or user calibration. The output is accessible through a client-server infrastructure in a custom format and as OSC packets. Read more about HandVu or even download the alpha-stage software.


Descriptions of past projects are also available.

completely off-topic: Monterey Weather and my PhD genealogy.