Web: http://arxiv.org/abs/2209.08305

Sept. 20, 2022, 1:12 a.m. | Laurent Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaid, Mohammed Bennamoun

cs.CV updates on arXiv.org arxiv.org

In stereo vision, self-similar or bland regions can make it difficult to
match patches between two images. Active stereo-based methods mitigate this
problem by projecting a pseudo-random pattern on the scene so that each patch
of an image pair can be identified without ambiguity. However, the projected
pattern significantly alters the appearance of the image. If this pattern acts
as a form of adversarial noise, it could negatively impact the performance of
deep learning-based methods, which are now the de-facto …

arxiv benchmarking deep learning

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