Abstract:
This paper presents an approach to test stereo
algorithms against long stereo sequences (100+ image pairs).
Stereo sequences of this length have not been quantitatively
evaluated in the past. Using stereo sequences allows one to
exploit the temporal information, which is in general not well
used currently. Furthermore, the presented approach focuses
on evaluating the robustness of algorithms against differing
noise parameters (Gaussian noise, brightness differences, and
blurring).
Description:
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