FPGA synthesis of an stereo image matching architecture for autonomous mobile robots
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AuthorDoménech Asensi, Ginés; Ruiz Merino, Ramón Jesús; Zapata Pérez, Juan Francisco; López Alcantud, José Alejandro; Díaz Madrid, José Ángel
SponsorsThis work has been funded by Spanish government project TEC2015-66878-C3-2-R (MINECO/FEDER, UE).
Bibliographic CitationDOMÉNECH ASENSI, Ginés et al. FPGA synthesis of an stereo image matching architecture for autonomous mobile robots. En: XXXII Conference on Design of Circuits and Integrated Systems, DCIS 2017, 22 a 24 de noviembre, Barcelona, 2017.
This paper describes a hardware proposal to speed up the process of image matching in stereo vision systems like those employed by autonomous mobile robots. This proposal combines a classical window-based matching approach with a previous stage, where key points are selected from each image of the stereo pair. In this first step the key point extraction method is based on the SIFT algorithm. Thus, in the second step, the window-based matching is only applied to the set of selected key points, instead of to the whole images. For images with a 1% of key points, this method speeds up the matching four orders of magnitude. This proposal is, on the one hand, a better parallelizable architecture than the original SIFT, and on the other, a faster technique than a full image windows matching approach. The architecture has been implemented on a lower power Virtex 6 FPGA and it achieves a image matching speed above 30 fps.
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