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This paper presents a depth recovery technique based on the maximum defocus blur associated with a camera focus setting. The depth-blur relation is formulated by a mathematical model and verified by defocus calibration. Image intensity histogram analysis is used to identify the blur extent. Different from the existing depth from defocus approaches, our method is capable of depth recovery using a single...
This paper presents a novel method to obtain the depth information from motion blurred images. Under the assumption of uniform linear motion between the camera and the scene during finite exposure time, both the pinhole model and the camera with a finite aperture are considered. It is shown that the image blur produced by lateral motion of the camera is inversely proportional to the distance of the...
Motion blur is a result of finite acquisition time of practical cameras and the relative motion between the camera and moving objects. Traditionally, the image degradations caused by motion blur are treated as undesirable artifacts and usually have to be removed before further processing. In this work, we propose a novel approach for vehicle speed detection based on a single motion blurred image as...
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