Results 21 to 30 of about 109,180 (287)
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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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 ...
Canagarajah, CN, Sugden, Paul
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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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Binary Adaptive Semi-Global Matching Based on Image Edges [PDF]
, 2015 Image-based modeling and rendering is currently one of the most challenging topics in Computer Vision and Photogrammetry. The key issue here is building a set of dense correspondence points between two images, namely dense matching or stereo matching ...
Bergeron, R. D. +3 more
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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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Variational multi-image stereo matching [PDF]
, 2015 In two-view stereo matching, the disparity of occluded pixels cannot accurately be estimated directly: it needs to be inferred through, e.g., regularisation. When capturing scenes using a plenoptic camera or a camera dolly on a track, more than two input
Aelterman, Jan +3 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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