DocumentCode :
456938
Title :
Depth Recovery from Motion Blurred Images
Author :
Lin, Huei-Yung ; Chang, Chia-Hong
Author_Institution :
Dept. of Electr. Eng., National Chung Cheng Univ., Chia-Yi
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
135
Lastpage :
138
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
Keywords :
computer vision; geometrical optics; image motion analysis; image restoration; camera lateral motion; depth information; depth recovery; finite aperture; geometric optics; image blur model; motion blurred images; object depth; pinhole model; uniform linear motion; Apertures; Cameras; Focusing; Geometrical optics; Layout; Lenses; Optical imaging; Optical variables control; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.429
Filename :
1698851
Link To Document :
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