Christopher Geyer
iRobot (United States), Carnegie Mellon University, University of Pennsylvania
Papers
7
Total Citations
189
H-Index
6
About
Christopher Geyer’s research lies at the intersection of computer vision, robotics, and human-robot interaction, with a focus on real-time perception and omnidirectional imaging. His most influential work, the C4 human detector (2011, 107 citations), introduced a contour-cue-based system that achieved 20 fps speed—a breakthrough for real-time applications in surveillance and autonomous navigation. Geyer also made foundational contributions to catadioptric vision, developing a minimal nine-point algorithm for parabolic cameras (2007) and advancing the theory of catadioptric projective geometry (2002), which enabled wide-field-of-view imaging beyond 180°. His work on omnidirectional vision (2002) further shaped surround perception for robotics and immersive communication. In aerial robotics, Geyer’s recursive multi-frame planar parallax algorithm (2006) provided dense terrain elevation models from a single camera, supporting GIS and path planning. He also explored human-robot interaction, comparing heads-up, hands-free ground robot operation to traditional teleoperation (2011, 2012). With over 180 citations across his key papers, Geyer’s contributions have advanced both theoretical understanding and practical deployment of vision systems in robotics, making him a notable figure in real-time perception and omnidirectional imaging.
Research Focus
Key Achievements
Top Papers
- 1Real-time human detection using contour cues107 citations · 2011
- 2A Nine-point Algorithm for Estimating Para-Catadioptric Fundamental Matrices23 citations · 2007
- 3Catadioptric projective geometry: theory and applications20 citations · 2002
- 4Omnidirectional vision: theory and algorithms19 citations · 2002
- 5The Recursive Multi-Frame Planar Parallax Algorithm10 citations · 2006
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