Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13089
Title: Low-Cost Real-Time Stereo Vision Hardware with Binary Confidence Metric and Disparity Refinement
Authors: MOTTEN, Andy 
CLAESEN, Luc 
Issue Date: 2011
Source: Proceedings of the International Conference on Multimedia Technology ICMT, p. 3559-3562
Abstract: This paper presents a real-time stereo vision System-on-Chip (SoC) architecture for a depth-field generation processor as required in 3D TV applications. This architecture includes post-processing steps like a decision tree based confidence metric and a disparity refinement module while still fitting in a low cost FPGA. A real-time stereo matching calculation at a frame rate of 56 Hz with a resolution of 800 × 600 and a disparity of 80 has been realized using this architecture without the need for external memories.
Keywords: real-time stereo matching; low-cost; real-time; confidence metric, adaptable window; computer vision; Parallel memory architecture; system-on-chip; FPGA; 3D-TV; depth image
Document URI: http://hdl.handle.net/1942/13089
ISBN: 978-1-61284-771-9
DOI: 10.1109/ICMT.2011.6002155
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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