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The equivalence of two definitions of compatible homography matrices

open access: yesPattern Recognition Letters, 2020
In many computer vision applications, one acquires images of planar surfaces from two different vantage points. One can use a projective transformation to map pixel coordinates associated with a particular planar surface from one image to another.
Wojciech Chojnacki   +2 more
exaly   +2 more sources
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3D Estimation of Single Image based on Homography Transformation

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), 2022
Jimin Wang, Yuansheng Liu
exaly   +2 more sources

Bilevel Progressive Homography Estimation Via Correlative Region-Focused Transformer

Computer Vision and Image Understanding, 2023
We propose a novel correlative region-focused transformer for accurate homography estimation by a bilevel progressive architecture. Existing methods typically consider the entire image features to establish correlations for a pair of input images, but irrelevant regions often introduce mismatches and outliers.
Qi Jia 0001   +5 more
openaire   +3 more sources

Structure-Guided Image Inpainting Using Homography Transformation

IEEE Transactions on Multimedia, 2018
In this paper, we present a novel structure-guided framework for exemplar-based image inpainting to maintain the neighborhood consistence and structure coherence of an inpainted region. The proposed method consists of a data term for pixel validity and boundary continuity, a smoothness term to depict the compatibility of neighboring pixels for ...
Jiaying Liu, Zongming Guo
exaly   +3 more sources

A homography transform based higher-order MRF model for stereo matching

Pattern Recognition Letters, 2014
Stereo matching is one of the most important and fundamental topics in computer vision. It is usually solved by minimizing an energy function, which includes a data term and a smoothness term. The data term consists of the matching cost, and the smoothness term encodes the prior assumption that the surfaces are piecewise smooth.
Menglong Yang   +4 more
openaire   +1 more source

Video Stabilization Algorithm Based on Kalman Filter and Homography Transformation

2017
The camera systems are usually suffered from random jitter. In this paper, a new method based on Kalman filter and homography transformation is proposed to stabilize the unstable video. Firstly, the SURF (Speed-Up Robust Feature) point-feature matching algorithm is employed to find the corresponding matching points between two consecutive frames, and ...
Cong Liu, Xiang Li, Minghu Wu
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GA-based Homography Transformation for Vision Rectification in Robot Drawing System

Proceedings of the 44th IEEE Conference on Decision and Control, 2006
A robot drawing platform supporting five degrees of freedom (x, y, and z translation, z-rotation, and pitch) of a brush-pen motion has been under development in our laboratory. The platform is aimed at studying Chinese painting and calligraphy. Both replication of existing works and rendition of new are planned.
Ka-Wai Kwok, Yeung Yam, Ka Wah Lo
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High-precision Image Mosaic Algorithm Based on Adaptive Homography Transform

2021 40th Chinese Control Conference (CCC), 2021
The Unmanned Aerial Vehicle (UAV) image mosaic is a research hotspot of digital image processing in recent years, which has extensively application prospect. The existing algorithms are sensitive to aerial images mosaic with large scale and perspective differences, and have the disadvantages of poor accuracy and image distortion, which can not obtain ...
Chen Tong   +3 more
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Motion Statistic Based Local Homography Transformation Estimation for Mismatch Removal

Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality, 2019
Accurately establishing pixel-level correspondence between images taken from same objects is an essential problem in many computer vision applications, such as 3D reconstruction, simultaneous localization and mapping (SLAM), and augmented reality (AR).
Songlin Du, Takeshi Ikenaga
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Homography transform enhance CNN prediction accuracy on image classification

Applied and Computational Engineering, 2023
Convolutional Neural Network (CNN) image classification is a well-established algorithm that has been implemented in many fields. Benefit from the digitalization process and the exponential increase in the base of smart devices, this algorithm can be applied to even more traditional or casual contexts in the future driven by the trend of Internet of ...
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