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Architectures for Stereo Vision

2013
Stereo vision is an elementary problem for many computer vision tasks. It has been widely studied under the two aspects of increasing the quality of the results and accelerating the computational processes. This chapter provides theoretic background on stereo vision systems and discusses architectures and implementations for real-time applications.
Christian Banz   +2 more
openaire   +1 more source

Stereo visions

Physics World, 1994
Geoff Stedman, Mary Cole
openaire   +1 more source

Ellipse based stereo vision

1992
We propose a new stereo vision algorithm for finding circles in a scene. In both 2-D images, ellipses are found. The ellipses are matched in order to find circles in 3-D space. The method does not require a special camera alignment, instead both camera matrices must be known.
openaire   +1 more source

Embedded Stereo Vision

2009
In the last few years, stereo vision has become a very interesting sensing technology for robotic platforms. Especially for indoor applications, stereo vision brings many advantages. It is passive, so it does not affect its environment, it is small in size, and it is very flexible.
Karina Ambrosch   +3 more
openaire   +1 more source

In-situ concrete slump test incorporating deep learning and stereo vision

Automation in Construction, 2021
Sangyoon Chin, Seunghee Park
exaly  

Automated concrete crack evaluation using stereo vision with two different focal lengths

Automation in Construction, 2022
Hyunjun Kim   +2 more
exaly  

Stereo Vision

2013
Soon-Yong Park, Seung-Hae Baek
openaire   +1 more source

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