Results 41 to 50 of about 109,180 (287)
Stereo Matching Based On Election Campaign Algorithm
Stereo matching is one of the significant problems in the study of the computer vision. By getting the distance information through pixels, it is possible to reproduce a three-dimensional stereo.
Xie Qing Hua +3 more
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Stereo Image Matching Using Adaptive Morphological Correlation
A stereo matching method based on adaptive morphological correlation is presented. The point correspondences of an input pair of stereo images are determined by matching locally adaptive image windows using the suggested morphological correlation that is
Victor H. Diaz-Ramirez +3 more
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ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Evaluating Learning-based Tie Point Matching for Geometric Processing of Off-Track Satellite Stereo [PDF]
Tie-point matching of off-track stereo images is a very challenging task, which can impact bias compensation and digital surface model (DSM) generation.
S. Song +12 more
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Dense stereo matching has been widely used in photogrammetry and computer vision applications. Even though it has a long research history, dense stereo matching is still challenging for occluded, textureless and discontinuous regions. This paper proposed
Hua Liu +3 more
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Computing the Stereo Matching Cost with a Convolutional Neural Network
We present a method for extracting depth information from a rectified image pair. We train a convolutional neural network to predict how well two image patches match and use it to compute the stereo matching cost.
LeCun, Yann, Žbontar, Jure
core +1 more source
Pattern Recognition (ICPR), 2012 21st International Conference ...
Zhang, Kang +5 more
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Single View Stereo Matching [PDF]
Previous monocular depth estimation methods take a single view and directly regress the expected results. Though recent advances are made by applying geometrically inspired loss functions during training, the inference procedure does not explicitly impose any geometrical constraint.
Luo, Yue +6 more
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Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek +5 more
wiley +1 more source
Optimization of greenhouse tomato localization in overlapping areas
Tomato localization is the main difficulty of tomato picking robots vision system. To provide robots vision system with the accurate position of tomatoes, this paper collects images with a binocular camera, provides the principle of binocular ranging ...
Guohua Gao, Shuangyou Wang, Ciyin Shuai
doaj +1 more source

