Papers › Hierarchical Deep Stereo Matching on High-resolution Images

Hierarchical Deep Stereo Matching on High-resolution Images

13 Dec 2019CVPR 2019 6arXiv:1912.06704archive 2025-07-28

Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan

We explore the problem of real-time stereo matching on high-res imagery. Many state-of-the-art (SOTA) methods struggle to process high-res imagery because of memory constraints or speed limitations. To address this issue, we propose an end-to-end framework that searches for correspondences incrementally over a coarse-to-fine hierarchy. Because high-res stereo datasets are relatively rare, we introduce a dataset with high-res stereo pairs for both training and evaluation. Our approach achieved SOTA performance on Middlebury-v3 and KITTI-15 while running significantly faster than its competitors. The hierarchical design also naturally allows for anytime on-demand reports of disparity by capping intermediate coarse results, allowing us to accurately predict disparity for near-range structures with low latency (30ms). We demonstrate that the performance-vs-speed trade-off afforded by on-demand hierarchies may address sensing needs for time-critical applications such as autonomous driving.

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Syntology Ran 2 of 10 code samples harvested from 2 repositories linked to this paper; 8 have no recorded run. Of those that ran: 1 ran · violated contract; 1 ran with no contract checked.

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default_loader gengshan-y/high-res-stereo/dataloader/MiddleburyLoader.py community (archive-listed) ran MIT (permissive) · ac269a0e4b8d946e · report
is_image_file gengshan-y/high-res-stereo/dataloader/KITTIloader2012.py community (archive-listed) ran · violated contract MIT (permissive) · ab4109634b75ef8b · report
dataloader gengshan-y/high-res-stereo/dataloader/KITTIloader2012.py community (archive-listed) unverified MIT (permissive) · 7dfd7be48993bd31 · report
dataloader gengshan-y/high-res-stereo/dataloader/KITTIloader2015.py community (archive-listed) unverified MIT (permissive) · 1f37c6395f8cb912 · report
dataloader gengshan-y/high-res-stereo/dataloader/listfiles.py community (archive-listed) unverified MIT (permissive) · 89def291c40ceb41 · report
dataloader gengshan-y/high-res-stereo/dataloader/listsceneflow.py community (archive-listed) unverified MIT (permissive) · 93ba7c1654dce94b · report
draw_depth ibaiGorordo/PyTorch-High-Res-Stereo-Depth-Estimation/highres_stereo/utils_highres.py community (archive-listed) unverified MIT (permissive) · 9d919b029837f9f6 · report
draw_disparity ibaiGorordo/PyTorch-High-Res-Stereo-Depth-Estimation/highres_stereo/utils_highres.py community (archive-listed) unverified MIT (permissive) · 6b0647447e051d47 · report
sepConv3d gengshan-y/high-res-stereo/models/submodule.py community (archive-listed) unverified MIT (permissive) · edb7ea423ba81407 · report
set_disparity_range ibaiGorordo/PyTorch-High-Res-Stereo-Depth-Estimation/highres_stereo/utils_highres.py community (archive-listed) unverified MIT (permissive) · caf4b59007e31e9a · report

Tasks

Autonomous DrivingStereo MatchingVocal Bursts Intensity Prediction

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