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Fig. 13 Three test images and the corresponding depth map, where the bottom right is the
depth map and the remainder refers to the original images
of objects appear in the background as well as the foreground. The algorithms in-
volved in the comparison comprise (1) Zhou's algorithm [12], (2) Klaus's algorithm
[8], (3) Ogale' algorithm [23] and (4) Tola' algorithm [28].
Fig. 15 illustrates the outcomes of different stereo matching algorithms. For ex-
ample, it has been observed from row 1 that Klaus's algorithm allows the building's
details to be significantly presented. However, we observe that Zhou's and Tola' al-
gorithms have the best performance in row 3's outcomes due to the explicit details.
In the row, the human shapes can be noticed in the extracted disparity map by Zhou's
algorithm, while the other algorithms seems to loose details. These comparison re-
sults demonstrate that the behaviors of individual algorithms may vary in different
images. Therefore, more broad and further studies on better performance of stereo
reconstruction are necessarily required in the community.
 
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