SASCr2: Enhanced hardware string alignment coprocessor for stereo correspondence.

Embedded Computing(2014)

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摘要
In this paper new and significant improvements for a recently proposed hardware co-processor for Stereo Matching are introduced. Main focus is on small memory requirements while preserving the needed accuracy. Starting from a pair of stereo images, the co-processor computes the “disparity map” used to define corresponding points on the two images. The approach follows the well-known scheme for string alignment by Needleman & Wunsch, commonly used in bioinformatics. The architecture, highly modular, was designed by using Bluespec SystemVerilog development tool and is described in detail. Synthesis results for several FPGA platforms are shown. The actual circuit is an updated version of SASC design. Performance is benchmarked against the former implementation as well as against two reference software versions.
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关键词
disparity map,fpga,image processing,real-time vision,stereo vision,string matching algorithms,hardware,field programmable gate arrays,bioinformatics,memory management
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