Real time camera ego - motion compensation and lens undistortion on GPU
نویسنده
چکیده
This paper describes a GPU implementation for simultaneous camera ego-motion compensation and lens undistortion. The main idea is to transform the image under an ego-motion constraint so that tracked points in the image, that are assumed to come from the ego-motion, maps as close as possible to their average position in time. The lens undistortion is computed simultaneously. We compare the performance with and without compensation using two measures; mean time difference and mean statistical background subtraction.
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تاریخ انتشار 2009