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Downloadable Brochures:
AimFinder with UpRightâ„¢ Technology
The group is also investigating
human perception and the interaction between imaging
sensors and other types of sensors. Methods are
being developed to analyze images using differential
mapping and photogrammetric approaches, and to
design algorithms that can be used to evaluate
images and expand artificial intelligence. Many
practical applications use a sensed image to
recognize specific objects; our research focuses on
the development of algorithms to perform feature
extraction and matching, and to organize the data to
support efficient matching. Important applications
include color segmentation, multispectral fusion,
2-D to 3-D reconstruction, 3-D object recognition,
and the visualization/exploration of 3-D volumetric
data. Current research projects include computerized weapon aiming, 2-D to 3-D reconstruction, multispectral fusion biometric authentication, automatic target surveillance and tracking, handless human-computer interaction (HCI), face modeling, medical image segmentation, digital watermarking, and analyzing the structure of online documents. In recent projects, we have developed applications for national defense, homeland security, and medical imaging.
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