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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hi-Seok Kim Sea-Ho Kim Won-Ki Go Sang-Bock Cho |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. electronics engineering, Cheongju University, KOREA (Hi-Seok Kim; Sea-Ho Kim; Won-Ki Go) || Dept. electronics engineering, University of Ulsan, KOREA (Sang-Bock Cho) |
| Abstract | With the advance of image processing and computer vision, a stereo vision system with two cameras has become the research of interest in many areas since its ability to depth information similar to human vision. Depth map algorithm allows camera system to estimate depth. It is a computational intensive algorithm, but can be implemented with high speed on hardware due to the parallelism property. In this paper, by analyzing digital image stabilization algorithms, we propose an efficient stereoscopic image architecture which combined gray - scaled projection with Affine transformation model. We develop the architecture by describing the various computation units in hardware description language (Verliog) and synthesizing the design into a FPGA. The synthesis and experimental results show that the proposed architecture is better than traditional SAD(sum of absolute difference) based block matching algorithm in frame rate(frame/sec). |
| Starting Page | 509 |
| Ending Page | 512 |
| File Size | 292036 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467329897 |
| e-ISBN | 9781467329903 |
| e-ISBN | 9781467329880 |
| DOI | 10.1109/ISOCC.2012.6406908 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-04 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis 3D Gray-scale projection Computational modeling Stereo image processing Computer architecture Steroscopic Gray-scale Vectors Field programmable gate arrays architecture |
| Content Type | Text |
| Resource Type | Article |
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