Results 11 to 20 of about 1,551,938 (158)

Bayesian Filtering for Homography Estimation

open access: yesIEEE Robotics and Automation Letters, 2023
This paper considers homography estimation in a Bayesian filtering framework using rate gyro and camera measurements. The use of rate gyro measurements facilitates a more reliable estimate of homography in the presence of occlusions, while a Bayesian ...
Bernal, Arturo Del Castillo   +2 more
core   +4 more sources

Deep Homography Estimation for Dynamic Scenes

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Homography estimation is an important step in many computer vision problems. Recently, deep neural network methods have shown to be favorable for this problem when compared to traditional methods.
Feng Liu   +7 more
core   +6 more sources

Image Registration Algorithm for Stamping Process Monitoring Based on Improved Unsupervised Homography Estimation

open access: yesApplied Sciences
Homography estimation is a crucial task in aligning template images with target images in stamping monitoring systems. To enhance the robustness and accuracy of homography estimation against random vibrations and lighting variations in stamping ...
Yujie Zhang, Yinuo Du
doaj   +2 more sources

Unsupervised Homography Estimation with Coplanarity-Aware GAN

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Estimating homography from an image pair is a fundamental problem in image alignment. Unsupervised learning methods have received increasing attention in this field due to their promising performance and label-free training.
Liu, Shuaicheng   +5 more
core   +3 more sources

A semi-automated framework for homography estimation

open access: yesComputer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications, 2013
Reliable estimation of the geometric transformation (homography)between different planes is a key step in a number of robotics applications. A common requirement is the homography estimation between a ground plane and a camera.
Faulhammer, Thomas   +3 more
core   +3 more sources

Multiple homography estimation with full consistency constraints [PDF]

open access: yes2010 International Conference on Digital Image Computing: Techniques and Applications, 2010
A novel approach is presented to estimating a set of interdependent homography matrices linked together by latent variables. The approach allows enforcement of all underlying consistency constraints while accounting for the arbitrariness of the scale of ...
Wojciech Chojnacki   +7 more
core   +4 more sources

Homography Estimation Based on Order-Preserving Constraint and Similarity Measurement [PDF]

open access: yesIEEE Access, 2018
Homography is an important concept that has been extensively applied in many computer vision applications. However, accurate estimation of the homography is still a challenging problem. The classical approaches for robust estimation of the homography are
Haijiang Zhu   +4 more
doaj   +2 more sources

Unsupervised and interpretable track‐to‐track association based on homography estimation of radar bias

open access: yesIET Radar, Sonar & Navigation
Track‐to‐track association methods based on machine learning and deep learning have greatly improved the association results, but the scope of application is limited by the poor interpretability and manual association labelling.
Xiong Wei, Xu Pingliang, Cui Yaqi
doaj   +2 more sources

Deep homography estimation with pairwise invertibility constraint

open access: yes, 2018
Recent works have shown that deep learning methods can improve the performance of the homography estimation due to the better features extracted by convolutional networks. Nevertheless, these works are supervised and rely too much on the labeled training
Wang, X   +10 more
core   +3 more sources

Algorithms for trajectory integration in multiple views [PDF]

open access: yes, 2009
PhDThis thesis addresses the problem of deriving a coherent and accurate localization of moving objects from partial visual information when data are generated by cameras placed in di erent view angles with respect to the scene.
Kayumbi-Kabeya, Gabin-Wilfried
core   +4 more sources

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