Lights and Camera
Funding agency: Communications and Information Technology Ontario
Principal Investigator: Yves Lespérance, Department of Computer Science, York University
Other Team Members:
Michael Jenkin, Department of Computer Science, York University
Piotr Jasiobedzki, MacDonald Dettwiler Space and Advanced Robotics Ltd.
Duration: 2 years (2003 -- 2005)
Abstract
Remote visual imagery is used in applications from mining, to
assisting spaceships to dock, to guiding endoscopic probes. A
fundamental problem in using remote visual imagery is that there is
often insufficient natural light available, and the sensors are
typically augmented with one or more remote lights to provide the
appropriate illumination. Controlling these lights so that they
provide appropriate illumination throughout the scene, and combining
images acquired under different lighting conditions so that the images
can be readily understood by a human or software process is a complex
task. Under this project we developed a software tool to
automatically determine how should these lights be controlled
intelligently, and to combine imagery obtained under different
lighting conditions into a single image suitable for use by a human
operator or a computer vision system.
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