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