Results 21 to 30 of about 16,591 (312)
Computer Vision and Image Understanding, 2005 A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given the observed stereo images. A mixed sampling and deterministic strategy is adopted to balance between effectiveness and efficiency: the parameters are estimated via Markov ...
Cheng , Li, Caelli, Terry
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Local Stereo Matching Based on Support Weight With Motion Flow for Dynamic Scene
IEEE Access, 2016 Stereo matching is one of the most important and challenging subjects in the field of stereo vision. The disparity obtained in stereo matching can represent depth information in 3-D world to a great extent and shows great importance in stereo field.
Jiachen Yang +5 more
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HIGH-PRECISION DEM PRODUCTION FOR SPACEBORNE STEREO SAR IMAGES BASED ON SIFT MATCHING AND REGION-BASED LEAST SQUARES MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Generally, there are two ways to generate Digital Elevation Model (DEM) using synthetic aperture radar (SAR) data, which are Interferometer Synthetic Aperture Radar(InSAR) and radargrammetry. Considering the disadvantages of InSAR data, such as the limit
S. Xiaotian, Z. Guo, Z. Guo, W. Xia
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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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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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Hyperspectral Light Field Stereo Matching [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 In this paper, we describe how scene depth can be extracted using a hyperspectral light field capture (H-LF) system. Our H-LF system consists of a 5 x 6 array of cameras, with each camera sampling a different narrow band in the visible spectrum. There are two parts to extracting scene depth.
Kang Zhu +5 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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An Improved Stereo Matching Algorithm Based on Joint Similarity Measure and Adaptive Weights
Applied Sciences, 2022 Stereo matching is the operation of obtaining the parallax value between two images by matching all the corresponding image points in the two images, thus obtaining the dense parallax image between the two images.
Xiangjun Lai +6 more
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Estimation of disparity map of stereo image pairs using spatial domain local Gabor wavelet
IET Computer Vision, 2015 The stereo matching problem takes two images captured by nearby cameras and attempts to recover quantitative disparity information. Most of the existing stereo matching algorithms find it difficult to estimate disparity in the occlusion, discontinuities ...
T. Malathi, M.K. Bhuyan
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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 ...
D. Scharstein, R. Szeliski
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