Advances in the testing of stereo image acquisition devices
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Date
2014-01-04Author
Andorko, Istvan
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Abstract
The core problem addressed in the current thesis is to provide a novel test bed
for depth map generation and stereo image-based algorithms. The test bed comprises
of elements such as (i) the choice and calibration of stereo image acquisition
devices; (ii) choice and setup of objects in the test scenes; (iii) light intensity and
temperature settings; (iv) camera-object and stereo baseline distance setups and
(v) a repeatable test scene. In order to determine each element of the test bed, a
number of experiments are presented. During the experiment process, four depth
map algorithms are selected which, in conjunction with four different test scenes, are
used for the initial measurements where (i) the influence of light intensity on algorithm
performance is determined; (ii) the performances of the algorithms at different
camera-object distances are determined and (iii) the influence of similar objects in
the test scene is described. In order to acquire stereo images, a number of devices
are used, from off-the-shelf stereo cameras to custom-built stereo devices. During
the stereo image acquisition, a number of possible error sources are noticed, and
the problems are mitigated. The experiments show that slight changes in the light
intensity, light direction, camera-object distance and stereo base length can have a
significant influence on the result of the depth map algorithms. With the help of
these results, the details of the test bed are determined, and an on-line database
is provided, containing details of the test scene and example stereo test images derived
from the scene. This is available online for other researchers to download
at http://www.andorko.com/stereo.html. The proposed test scene is provided with
a view to having a standardized test scene that can be easily replicated by other
researchers for testing of stereo acquisition systems and associated depth map acquisition algorithms.