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Jan Neumann |
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Personal Info:I am a Ph.D. student in the Computer Vision Lab at the University of Maryland under supervision of Yiannis Aloimonos and will graduate in May 2004. More information can be found in my curriculum vitae.Office: AVW 4470 :: Tel.: 301 405 1762 :: jneumann at cfar.umd.edu Research (Research statement):I am interested in the geometry and statistics of visual space-time, i.e. representations of 3D shape and movement that can be extracted from images. This work has applications in many areas of computer vision and graphics, for example it lead to
More detailed information about my research can be found on my research overview page, my research statement and in my publications. Selected publications that best represent my work
PhD Thesis (expected date of completion, August 2004):My thesis is inspired by sensory ecology, a discipline that studies the relationship between the behavior of an organism, the information it extracts to control its behavior and the environment in which it exists. I am especially intrigued by its description how the interplay between physical and environmental constraints governs the evolution of the sensors of an organism. In my thesis I attempt to capture the principles that govern the natural evolution of biological vision sensors in a mathematical framework, and then apply them to the design of artificial vision sensors. The mathematical framework that I am developing in my thesis can be of great help in this process by enabling the optimal design and construction of large camera networks and small insect-eye like sensors in a unified mathematical framework. This approach is validated by the prototypes that I am implementing at the moment. I believe that task-specific camera design has great potential to alter the way we sense our environment especially with the advent of optical nano-technology around the corner which will offer new opportunities to design revolutionarily different cameras that sample the space of light rays in ways unimaginable to us today. For more information please see the prospectus of my thesis (PDF, 3.3MB). Teaching:In Fall 2002 I cotaught the class CMSC828Z - 3D Photography and Inverse Rendering. In this class we talked about how computer vision and computer graphics can mutually benefit from eachother since one can be interpreted as the inverse problem of the other. Specifically, I talked about how computer graphics transforms our models of the world into images (Rendering and Animation), and how computer vision allows us to infer models of the world based on these images (3D Photography and Motion Capture). More information about my teaching philosophy can be found in my teaching statement. "The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man." G.B. Shaw |
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| © 2003 by Jan Neumann jn at videogeometry dot com (return to top of page) | |||||||||