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Related Experiment Video

Updated: May 13, 2026

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Dynamic Visual Tests to Identify and Quantify Visual Damage and Repair Following Demyelination in Optic Neuritis Patients

Published on: April 14, 2014

SAD-based stereo vision machine on a System-on-Programmable-Chip (SoPC).

Xiang Zhang¹, Zhangwei Chen

¹State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China. Gavin@hdu.edu.cn

Sensors (Basel, Switzerland)

|March 6, 2013

Summary

This summary is machine-generated.

This study presents a novel real-time stereo vision machine using System-on-Programmable-Chip (SoPC) technology for efficient dense disparity map computation. The hardware implementation achieves high performance for real-time stereo vision applications.

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Area of Science:

Computer Vision
Embedded Systems Engineering
Digital Signal Processing

Background:

Stereo vision systems are crucial for 3D perception in robotics and autonomous systems.
Real-time processing of dense disparity maps presents significant computational challenges.

Purpose of the Study:

To propose and implement a novel stereo vision machine architecture for efficient real-time disparity map computation.
To leverage System-on-Programmable-Chip (SoPC) technology for hardware acceleration.

Main Methods:

System hardware implemented on a single FPGA chip utilizing a 32-bit Nios II microprocessor.
Sum of Absolute Differences (SAD) algorithm employed for dense disparity map computation.
Matlab-based DSP Builder used for algorithmic module circuit modeling.

Main Results:

The stereo vision machine processes images up to 512 K pixels with configurable interfaces.
Achieved performance of 23 frames per second for 640 × 480 images at 90 MHz FPGA clock.
Demonstrated good performance and high efficiency for real-time stereo vision applications.

Conclusions:

The proposed SoPC-based stereo vision machine offers an efficient solution for real-time dense disparity map computation.
FPGA implementation provides a viable platform for high-performance computer vision tasks.
The system is well-suited for demanding real-time stereo vision applications.