Short Biography
I am a graduate student in computer science at
the University of North Carolina at Chapel Hill. My research
involves computer vision and random process modeling and
analysis. Specifically, I work on camera pose estimation
combining video data and other sensors such as accelerometers,
gyroscopes and global positioning system (GPS) sensors. This is
known as structure from motion in the vision community and is referred
to as simultaneous localization and mapping in the robotics
community. My aim is to create city scale or larger 3D
reconstructions of urban scenes using low cost sensors. These
reconstructions could be used to generate content for platforms such as
Google Earth and Microsoft Virtual Earth as well as video game content
or simulator content for military or police training.
I worked on the Urbanscape
project which a collaboration between UNC, the University of Kentucky
and SAIC Inc. The project is funded by the Defense Advanced
Research Projects Agency (DARPA) and involves generating three
dimensional, geo-registered models from video and GPS/Inertial
Navigation data.
I received my undergraduate degree in computer
engineering from Clemson University. My undergraduate
departmental honors work focused on studying network protocols for
ad-hoc wireless networks which take advantage of radio transmission
power variation to increase throughput and decrease latency.
Education
Curriculum Vita
PDF
Adviser
Co-Adviser
Collaborators
News
We won the best demonstration award at Computer
Vision and Pattern Recognition (CVPR) 2007 for our demo "Real Time 3D
Reconstruction of Urban Scenes from Video." In the demonstration
we presented a system that reconstructed the geometry of a parts of the
UNC Chapel Hill campus from video at frame rate speed.
Vision Meeting
I am organizing the Compute Vision Group Meeting
this semester. Click
here for the schedule.
