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Depth Recovery from Motion Blurred Images

by: Huei-Yung Lin, Chia-Hong Chang
In Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, Vol. 1, pp. 135-138, doi:10.1109/icpr.2006.429  Key: citeulike:11344988

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Abstract

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 object. Furthermore, if the speed of the relative motion is known, the depth of the object can be acquired by identifying the blur parameters. An image blur model for uniform linear motion is formulated based on geometric optics. The proposed method has been verified experimentally using edge images


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