Hardware/software co-design architecture for Blokus Duo solver

Sugimoto, Naru; Amano, Hideharu

doi:10.1109/fpt.2014.7082820

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…The objective of this paper is to implement a real-time stereo vision system. To achieve a certain acceleration ratio and human-computer interaction capability, this paper combines the functional characteristics of the stereo vision system and the advantages of the Zynq platform, and adopts the idea of software-hardware co-design to divide the functions of the stereo vision system into two parts [8] , PL and PS, and design the overall framework of the stereo vision system as shown in Figure 2. The dual-camera vision system designed in this paper mainly includes image acquisition, image rectification, stereo matching, and HDMI display [9][10][11] .…”

Section: General Framework Of the Systemmentioning

confidence: 99%

Design of binocular vision system based on Zynq

Wang,

Gong,

Zhang

et al. 2023

Third International Conference on Signal Image Processing and Communication (ICSIPC 2023)

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Binocular vision is an important branch of computer vision that processes images captured from two different cameras with different perspectives to obtain depth information of a scene. However, the stereo matching algorithm is complex and traditional platforms often struggle to meet real-time and accuracy requirements simultaneously. In this article, we implement a binocular vision system based on the idea of software-hardware co-design on the Zynq platform. According to the characteristics of the Zynq platform, the system's software and hardware functions are divided. The processing system (PS) is mainly responsible for flow control and binocular correction, while the programmable logic (PL) is responsible for parallel acceleration of the stereo matching algorithm. In the image acquisition part, we configure the format and output image timing using a designed camera acquisition module. In the stereo matching part, we design a semi-global stereo matching algorithm using Verilog language. Finally, we build a binocular vision system on the Zynq platform for testing. The experimental results show that the frame rate can reach 30fps when the input image resolution is 640×480, which satisfies the requirements of real-time and accuracy of the output disparity map.

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Section: General Framework Of the Systemmentioning

confidence: 99%