Share Email Print
cover

Proceedings Paper

GPU-based real-time trinocular stereo vision
Author(s): Yuanbin Yao; R. J. Linton; Taskin Padir
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Most stereovision applications are binocular which uses information from a 2-camera array to perform stereo matching and compute the depth image. Trinocular stereovision with a 3-camera array has been proved to provide higher accuracy in stereo matching which could benefit applications like distance finding, object recognition, and detection. This paper presents a real-time stereovision algorithm implemented on a GPGPU (General-purpose graphics processing unit) using a trinocular stereovision camera array. Algorithm employs a winner-take-all method applied to perform fusion of disparities in different directions following various image processing techniques to obtain the depth information. The goal of the algorithm is to achieve real-time processing speed with the help of a GPGPU involving the use of Open Source Computer Vision Library (OpenCV) in C++ and NVidia CUDA GPGPU Solution. The results are compared in accuracy and speed to verify the improvement.

Paper Details

Date Published: 4 February 2013
PDF: 8 pages
Proc. SPIE 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 86620A (4 February 2013); doi: 10.1117/12.2008583
Show Author Affiliations
Yuanbin Yao, Worcester Polytechnic Institute (United States)
R. J. Linton, Worcester Polytechnic Institute (United States)
Taskin Padir, Worcester Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 8662:
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top