Results 31 to 40 of about 16,591 (312)
Stereo Object Matching Network [PDF]
This paper presents a stereo object matching method that exploits both 2D contextual information from images as well as 3D object-level information. Unlike existing stereo matching methods that exclusively focus on the pixel-level correspondence between stereo images within a volumetric space (i.e., cost volume), we exploit this volumetric structure in
Choe, Jaesung +3 more
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SVCV: segmentation volume combined with cost volume for stereo matching
Stereo matching between binocular stereo images is fundamental to many computer vision tasks, such as three‐dimensional (3D) reconstruction and robot navigation. Various structures of real 3D scenes lead stereo matching to be an old yet still challenging
Hongmei Zhu, Jihao Yin, Ding Yuan
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Photometric invariant stereo matching method
A robust stereo matching method based on a comprehensive mathematical model for color formation process is proposed to estimate the disparity map of stereo images with noise and photometric variations. The band-pass filter with DoP kernel is firstly used to filter out noise component of the stereo images. Then the log-chromaticity normalization process
Feifei, Gu +5 more
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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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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
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Pattern Recognition (ICPR), 2012 21st International Conference ...
Zhang, Kang +5 more
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