NDLI: An FPGA-based RGBD imager

Content Provider	Springer Nature Link
Author	Chen, Lei Jia, Yunde Li, Mingxiang
Copyright Year	2011
Abstract	This paper describes a trinocular stereo vision system using a single chip of FPGA to generate the composite color (RGB) and disparity data stream at video rate, called the RGBD imager. The system uses the triangular configuration of three cameras for synchronous image capture and the trinocular adaptive cooperative algorithm based on local aggregation for smooth and accurate dense disparity mapping. We design a fine-grain parallel and pipelining architecture in FPGA for implementation to achieve a high computational and real-time throughput. A binary floating-point format is customized for data representation to satisfy the wide data range and high computation precision demands in the disparity calculation. Memory management and data bit-width control are applied in the system to reduce the hardware resource consumption and accelerate the processing speed. The system is able to produce dense disparity maps with 320 × 240 pixels in a disparity search range of 64 pixels at the rate of 30 frames per second.
Starting Page	513
Ending Page	525
Page Count	13
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	23
Issue Number	3
e-ISSN	14321769
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-28
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	RGBD Imager Trinocular stereo vision Cooperative algorithm FGPA Image Processing and Computer Vision Communications Engineering, Networks Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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