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Bi3D: Stereo Depth Estimation via Binary Classifications
[article]
2020
arXiv
pre-print
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We present Bi3D, a method that estimates depth via a series of binary classifications. ...
Stereo-based depth estimation is a cornerstone of computer vision, with state-of-the-art methods delivering accurate results in real time. ...
Bi3D: Stereo Depth Estimation via Binary Classifications (Supplementary)
Additional Details on Training FeatNet. ...
arXiv:2005.07274v2
fatcat:acyx2jh5jbgx3khrx6ocu42rae
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Stereo depth estimation relies on optimal correspondence matching between pixels on epipolar lines in the left and right images to infer depth. ...
This approach, named STereo TRansformer (STTR), has several advantages: It 1) relaxes the limitation of a fixed disparity range, 2) identifies occluded regions and provides confidence estimates, and 3) ...
Related Work
Stereo Depth Estimation In general, the stereo depth estimation task involves two key steps (1) feature matching and (2) matching cost aggregation [23] . ...
arXiv:2011.02910v4
fatcat:q46pc3w2zzbnzcapmq5mpsrkaa