Results 21 to 30 of about 19,312 (309)
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Stereo is a prominent technique to infer dense depth maps from images, and deep learning further pushed forward the state-of-the-art, making end-to-end architectures unrivaled when enough data is available for training. However, deep networks suffer from significant drops in accuracy when dealing with new environments.
M. Poggi +3 more
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CoRR, 2014 Pattern Recognition (ICPR), 2012 21st International Conference ...
Kang Zhang 0004 +5 more
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Stereo sensitivity depends on stereo matching
Journal of Vision, 2005 Stereoacuity thresholds, measured with bar targets, rise as the absolute disparity of the bars is increased. One explanation for this rise is that, as the bars are moved away from the fixation plane, the stereo system uses coarser mechanisms to encode the bars' disparity; coarse mechanisms are insensitive to small changes in target disparity, resulting
Suzanne P, McKee +2 more
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Stereo Matching with Nonlinear Diffusion [PDF]
International Journal of Computer Vision, 1996 One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this problem with some novel algorithms based on iteratively diffusing support at different disparity hypotheses, and locally controlling the amount of diffusion based on the ...
Scharstein, Daniel, Szeliski, Richard
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Underdetermined noisy blind separation using dual matching pursuits [PDF]
, 2004 Underdetermined blind source separation is a key application in audio where it is desirable to extract multiple sources from a stereo recording. A new variant on the stereo matching pursuit, the dual matching pursuit, is presented whereby independent ...
Sugden, P, Canagarajah, CN, Sugden, Paul
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A Low-Complexity End-to-End Stereo Matching Pipeline From Raw Bayer Pattern Images to Disparity Maps
IEEE Access, 2021 Conventional computer vision algorithms, including stereo matching algorithms, take finely rendered color images as input. However, existing image signal processing (ISP) pipelines for color image generation are designed for photography with a goal of ...
Shengyu Gao, Hongyu Wang, Xin Lou
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Coarse-to-Fine Stereo Matching Network Based on Multi-Scale Structural Information Filtrating
IEEE Access, 2023 Stereo vision measurement is widely applied in tasks such as autonomous driving and 3D scene reconstruction. Accurately obtaining the disparity of stereo images relies on effective stereo matching algorithms.
Yuanwei Bi +5 more
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Clique descriptor of affine invariant regions for robust wide baseline image matching [PDF]
, 2010 Assuming that the image distortion between corresponding regions of a stereo pair of images with wide baseline can be approximated as an affine transformation if the regions are reasonably small, recent image matching algorithms have focused on affine ...
Tjahjadi, Tardi, Shin, Dongjoe
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Uncertainty Estimation for Stereo Matching Based on Evidential Deep Learning [PDF]
, 2021 Although deep learning-based stereo matching approaches have achieved excellent performance in recent years, it is still a non-trivial task to estimate the uncertainty of the produced disparity map.
Wang, Xiang +7 more
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Segment-based adaptive window and multi-feature fusion for stereo matching
Journal of Algorithms & Computational Technology, 2016 As to the problems of local stereo matching methods, such as matching window selection difficulty, fuzzy disparity edges and low accuracy in weak texture regions, this paper proposes an efficient stereo matching algorithm to improve the stereo matching ...
Hua Shi +4 more
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