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http://hdl.handle.net/1942/26697
Title: | Trinocular Stereo Vision Using a Multi Level Hierarchical Classification Structure | Authors: | MOTTEN, Andy CLAESEN, Luc Pan, Yun |
Issue Date: | 2013 | Publisher: | Springer | Source: | Burg, Andreas; Coṣkun, Ayse; Guthaus, Matthew; Katkoori, Srinivas; Reis, Ricardo (Ed.). Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip VLSI-SoC 2012: VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design, Springer,p. 45-63 | Series/Report: | IFIP Advances in Information and Communication Technology | Series/Report no.: | 418 | Abstract: | A real-time trinocular stereo vision processor is proposed which combines a window matching architecture with a classification architecture. A pair wise segmented window matching for both the center-right and center-left image pairs as their scaled down image pairs is performed. The resulting cost functions are combined which results into nine different cost curves. A multi level hierarchical classifier is used to select the most promising disparity value. The classifier makes use of features provided by the calculated cost curves and the pixels’ spatial neighborhood information. Evaluation and classifier training has been performed using an indoor dataset. The system is prototyped on an FPGA board equipped with three CMOS cameras. Special care has been taken to reduce the latency and the memory footprint. | Keywords: | trinocular stereo camera; real-time matching; confidence metric; computer vision; system-on-chip; FPGA; SoC | Document URI: | http://hdl.handle.net/1942/26697 | ISBN: | 9783642450723 | DOI: | 10.1007/978-3-642-45073-0_3 | Rights: | © IFIP International Federation for Information Processing 2013 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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Motten2013_Chapter_TrinocularStereoVisionUsingAMu.pdf Restricted Access | Published version | 1.64 MB | Adobe PDF | View/Open Request a copy |
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