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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yangjie Wei Zaili Dong Chengdong Wu |
| Copyright Year | 2009 |
| Description | Author affiliation: State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning Province 110016, China (Zaili Dong) || School of Information Science & Engineering, Northweast University, Shenyang, Liaoning Province 110016, China (Chengdong Wu) || Graduate School of Chinese Academy of Sciences, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning Province 110016, China (Yangjie Wei) |
| Abstract | Reconstruction depth from 2D images is an important research issue in computer vision, and depth from defocus (DFD) is an effective way which takes the blurred degree of the region images whose depth of field is limit as the tool of computing depth. Now though there are many DFD methods, they all need to change camera parameters in order to attain blurred images, such as the focal length of the lens, the radius of the lens. If cameras with high level of amplification are used, it is inhibitory to change camera parameters. Therefore, in this paper a novel DFD method is proposed. First, two different blurred images are captured through changing depth. Second, the blurred imaging model is constructed with the relative blurring and the diffusion equation, and the relation between depth and blurring is discussed from two aspects. Finally, the problem of computing depth is transformed into an optimization issue. The method proposed in this paper does not need to change camera parameters, so the process is very simple and can be used in some special applications. The simulation results show that this method can attain depth with high precision. |
| Starting Page | 1887 |
| Ending Page | 1892 |
| File Size | 7104199 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424426928 |
| DOI | 10.1109/ICMA.2009.5246652 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Design for disassembly Robot vision systems Image reconstruction Computer vision Equations Focusing Layout Robotics and automation Laboratories 3D Reconstruction Depth from Defocus Diffusion Equation |
| Content Type | Text |
| Resource Type | Article |
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