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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jin, Minxi Maruyama, Tsutomu |
| Copyright Year | 2014 |
| Abstract | In this article, we present a fast and high quality stereo matching algorithm on FPGA using cost aggregation (CA) and fast locally consistent (FLC) dense stereo. In many software programs, global matching algorithms are used in order to obtain accurate disparity maps. Although their error rates are considerably low, their processing speeds are far from that required for real-time processing because of their complex processing sequences. In order to realize real-time processing, many hardware systems have been proposed to date. They have achieved considerably high processing speeds; however, their error rates are not as good as those of software programs, because simple local matching algorithms have been widely used in those systems. In our system, sophisticated local matching algorithms (CA and FLC) that are suitable for FPGA implementation are used to achieve low error rate while maintaining the high processing speed. We evaluate the performance of our circuit on Xilinx Vertex-6 FPGAs. Its error rate is comparable to that of top-level software algorithms, and its processing speed is nearly 2 clock cycles per pixel, which reaches 507.9 fps for 640 480 pixel images. |
| Starting Page | 1 |
| Ending Page | 24 |
| Page Count | 24 |
| File Format | |
| ISSN | 19367406 |
| e-ISSN | 19367414 |
| DOI | 10.1145/2567659 |
| Volume Number | 7 |
| Issue Number | 1 |
| Journal | ACM Transactions on Reconfigurable Technology and Systems (TRETS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-02-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | FPGA Real-time Stereo vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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