Results 111 to 120 of about 1,551,938 (158)
A planar homography estimation method based on multi-view total least squares
, 2003 More and more computer vision methods are proposed based on planar homography. However, result accuracy of estimated parameters depends closely on homography estimation, which may be sensitive to noise.
Tan DL(谈大龙) +3 more
core
Adapting Dense Matching for Homography Estimation with Grid-based Acceleration
Current deep homography estimation methods are typically constrained to processing low-resolution image pairs due to network architecture and computational limitations. For high-resolution images, downsampling is often required, which can greatly degrade
Ma, Jiayi +3 more
core
STN-Homography: Direct Estimation of Homography Parameters for Image Pairs [PDF]
Applied Sciences (Switzerland), 2019 Estimating a 2D homography from a pair of images is a fundamental task in computer vision. Contrary to most convolutional neural network-based homography estimation methods that use alternative four-point homography parameterization schemes, in this ...
Qiang Zhou
exaly +3 more sources
Homography Based Egomotion Estimation with a Common Direction [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images.
Pascal Vasseur +2 more
exaly +7 more sources
A Review of Homography Estimation: Advances and Challenges
Electronics (Switzerland), 2023 Images captured from different viewpoints or devices have often exhibited significant geometric and photometric differences due to factors such as environmental variations, camera technology differences, and shooting conditions’ instability.
Xingyi Wang, Yanhao Liao, Yinhui Luo
exaly +2 more sources
Self-Supervised deep homography estimation with invertibility constraints
Pattern Recognition Letters, 2019 Remarkable performance of the homography estimation has been achieved by the deep CNN based approaches. These homography estimation methods, more often than not, are supervised methods and rely too much on the ground truth annotations as they aim to ...
Xiao Bai, Chen Wang
exaly +2 more sources
Coarse-to-Fine Homography Estimation for Infrared and Visible Images
Electronics (Switzerland), 2023 Homography estimation for infrared and visible images is a critical and fundamental task in multimodal image processing. Recently, the coarse-to-fine strategy has been gradually applied to the homography estimation task and has proved to be effective ...
Xingyi Wang, Yanhao Liao, Yinhui Luo
exaly +2 more sources
Detail-Aware Deep Homography Estimation for Infrared and Visible Image
Electronics (Switzerland), 2022 Homography estimation of infrared and visible images is a highly challenging task in computer vision. Recently, the deep learning homography estimation methods have focused on the plane, while ignoring the details in the image, resulting in the ...
Xingyi Wang, Yinhui Luo
exaly +2 more sources
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model [PDF]
IEEE Robotics and Automation Letters, 2018 Homography estimation between multiple aerial images can provide relative pose estimation for collaborative autonomous exploration and monitoring. The usage on a robotic system requires a fast and robust homography estimation algorithm. In this study, we propose an unsupervised learning algorithm that trains a Deep Convolutional Neural Network to ...
Steven Chen, Ty Nguyen
exaly +3 more sources
Infrared and Visible Image Homography Estimation Using Multiscale Generative Adversarial Network
Electronics (Switzerland), 2023 In computer vision, the homography estimation of infrared and visible multi-source images based on deep learning is a current research hotspot. Existing homography estimation methods ignore the feature differences of multi-source images, which leads to ...
Xingyi Wang, Yinhui Luo
exaly +2 more sources