A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching

Stefan Gehrig; Felix Eberli; Thomas Meyer

doi:10.1007/978-3-642-04667-4_14

ScienceGate Book Chapters

BOOK-CHAPTER

A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching

Stefan Gehrig Felix Eberli Thomas Meyer

Year: 2009 Lecture notes in computer science Pages: 134-143 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-04667-4_14

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Stereopsis Implementation Computer vision Pixel Artificial intelligence Matching (statistics) Scan line Line (geometry) Power consumption Power (physics) Computer graphics (images) Real-time computing Mathematics

Metrics

272

Cited By

28.82

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching

Metrics

Citation History

Topics

Related Documents

Hardware module for low-resource and real-time stereo vision engine using semi-global matching approach

Real-time stereo vision: Optimizing Semi-Global Matching

Automotive embedded driver assistance: A real-time low-power FPGA stereo engine using semi-global matching

Real-time stereo vision using semi-global matching on programmable graphics hardware

An FPGA-based real-time occlusion robust stereo vision system using semi-global matching