Implementation and assessment of video stabilization for structured light applications

Spring 2013

Student
Debjani Biswas
Advisor
Martial Hebert
Project description

Video stabilization techniques can be used to compensate for the movement of a camera. This is especially important for structured light application when there is background present. I will implement the algorithm described in the paper "Video Stabilization and Enhancement" (Farid and Woodword) in C++ and assess its effectiveness to compensate for movement. I will use OpenCV as the vision library. I will evaluate the quality of background subtraction under various conditions: Indoor/outdoor, different movements, smooth/textured background, presence of moving objects etc. If necessary I will modify the algorithm to improve the results.

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