The depth extraction
from visual information is one of underpinning research area of robotics and
there is a growing trend in development of autonomous and intelligent systems for
real-life applications. These unmanned systems need reliable depth estimations in
order to move in three-dimensional space, autonomously. Inspiring from
biological vision systems, stereo imaging systems promise a solution for the depth
estimation from binocular image pairs provided by stereo cameras. One of the
major problems in the depth estimation from the stereo image pair is low depth
resolution. This paper discusses the depth resolution problem and presents a depth
resolution analysis for stereo imaging systems.
: The
depth extraction from visual information is one of underpinning research area
of robotics and there is a growing trend in development of autonomous and
intelligent systems for real-life applications. These unmanned systems need
reliable depth estimations in order to move in three-dimensional space, autonomously.
Inspiring from biological vision systems, stereo imaging systems promise a
solution for the depth estimation from binocular image pairs provided by stereo
cameras. One of the major problems in the depth estimation from the stereo
image pair is low depth resolution. This paper discusses the depth resolution
problem and presents a depth resolution analysis for stereo imaging systems
Subjects | Computer Software |
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Journal Section | PAPERS |
Authors | |
Publication Date | December 1, 2016 |
Submission Date | November 3, 2016 |
Acceptance Date | November 24, 2016 |
Published in Issue | Year 2016 Volume: 1 Issue: 1 |
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