Results 1 to 10 of about 161,889 (191)
Improving Census Transform by High-Pass with Haar Wavelet Transform and Edge Detection [PDF]
One of the common methods for measuring distance is to use a camera and image processing algorithm, such as an eye and brain. Mechanical stereo vision uses two cameras to shoot the same object and analyzes the disparity of the stereo vision.
Jiun-Jian Liaw +4 more
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Quaternary Census Transform Based on the Human Visual System for Stereo Matching
The census transform is a non-parametric local transform that is widely used in stereo matching. This transform encodes the structural information of a local patch into a binary code stream representing the relative intensity ordering of the pixels ...
Seowon Ji +4 more
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The Adversarial Robust and Generalizable Stereo Matching for Infrared Binocular Based on Deep Learning [PDF]
Despite the considerable success of deep learning methods in stereo matching for binocular images, the generalizability and robustness of these algorithms, particularly under challenging conditions such as occlusions or degraded infrared textures, remain
Bowen Liu +4 more
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Stereo Matching Algorithm Based on Fusion Cost and Optimized Guided Filtering [PDF]
The existing local stereo matching algorithm requires fewer computation and has a higher speed than global stereo matching, making it suitable for real-time matching.However, it has issues such as high rates of matching errors and poor accuracy of ...
YU Jiaxin, WANG Chunyuan, HAN Hua, GAO Yan
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Stereo matching algorithm based on improved Census transform and path cost
In order to reduce the mismatching rate and improve the accuracy of disparity calculation, a stereo matching algorithm base on improved Census transform and path cost was proposed.
Pu HAN +4 more
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Improved Census Stereo Matching Algorithm Based on Adaptive Weight [PDF]
In view of the noise sensitivity and low matching accuracy of traditional Census algorithms in weak texture region,this paper proposes an improved algorithm based on adaptive weight.At the stage of cost calculation,the reference pixel value is obtained ...
HUANG Bin, HU Likun, ZHANG Yu
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Stereo matching is an important computer vision tool for three‐dimensional (3D) positioning, 3D visual representation, precision detection and recognition with 3D information.
Chih‐Hsuan Huang, Jar‐Ferr Yang
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Stereo matching plays an important role in 3D reconstruction in the context of digital museums. At present, it has problems such as occlusion, weak texture, and discontinuous disparity, which restrict the development of binocular vision.
Peng Peng, Jun Han
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TEXTURE-AWARE DENSE IMAGE MATCHING USING TERNARY CENSUS TRANSFORM [PDF]
Textureless and geometric discontinuities are major problems in state-of-the-art dense image matching methods, as they can cause visually significant noise and the loss of sharp features.
H. Hu +5 more
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Binocular vision-based displacement detection method for anchor digging robot
The problem of low detection accuracy of driving displacement exists in the driving process of anchor digging robots. In order to solve the above problem, taking the supporting bolt as the positioning benchmark, by analyzing the distance relationship ...
MA Hongwei +4 more
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