Results 81 to 90 of about 5,152 (205)

A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Barcodes are a key IoT technology for product identification and supply chain traceability, yet they are limited in data capacity and security. To address these limitations, we propose a barcode steganography framework based on image embedding and deep learning.
Yanfei Sun, Yinuo Chen, Junyu Wang, Rui Yin   +3 more
wiley   +1 more source

A planar homography estimation method for camera calibration

, 2003
More and more calibration methods are proposed based on planar homography. However, result accuracy of intrinsic parameters depends closely on homography estimation, which may be sensitive to noise. In this paper, a planar homography estimation method is
Tan DL(谈大龙), Zhou, CA, Dong ZL(董再励), Zhu F(朱枫)   +3 more
core  

Reconfigurable Forward Homography Estimation System for Real-Time Applications [PDF]

, 2014
Image processing and computer vision algorithms extensively use projections, such as homography, as one of the processing steps. Systems for homography calculation usually observe homography as an inverse problem and provide an exact solution.
Vladan Popovic, Yusuf Leblebici, Popovic, Vladan, Leblebici, Yusuf   +3 more
core   +2 more sources

Coarse-to-Fine Homography Estimation for Infrared and Visible Images

, 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, Yinhui Luo, Chang Shu, Yuezhou Wu, Qiang Fu, Yanhao Liao, Yuanqing He   +6 more
core   +1 more source

UAV Image Mosaicking Based on Multiregion Guided Local Projection Deformation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The goal of unmanned aerial vehicle (UAV) image mosaicking is to create natural- looking mosaics without artifacts due to the parallax of the image and relative camera motion.
Quan Xu, Jun Chen, Linbo Luo, Wenping Gong, Yong Wang   +4 more
doaj   +1 more source

Radially Distorted Homographies, Revisited

2026 International Conference on 3D Vision (3DV)
Homographies are among the most prevalent transformations occurring in geometric computer vision and projective geometry, and homography estimation is consequently a crucial step in a wide assortment of computer vision tasks. When working with real images, which are often afflicted with geometric distortions caused by the camera lens, it may be ...
Mårten Wadenbäck, Marcus Valtonen Örnhag, Johan Edstedt   +2 more
openaire   +2 more sources

Asteroid Pose Estimation Method Based on Monocular Vision and Intelligent Perception

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This paper proposes a pose estimation network based on geometric perception dual branch regression heads. By jointly optimizing rotation (Euler angle) and translation parameters and combining physical constraints to improve solution accuracy, the network achieves high‐precision solution of asteroid relative pose with a position estimation error of less
Chengbo Qiu, Zhencai Zhu, Wenxiu Zhang, Yonghe Zhang, Zhiming Cai, Zheming Lu   +5 more
wiley   +1 more source

Unsupervised Homography Estimation with Coplanarity-Aware GAN

, 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, Lin, Chunyu, Hong, Mingbo, Ye, Nianjin, Zhao, Qijun, Lu, Yuhang   +5 more
core  

Slovnědruhová a morfologická homonymie, homofonie a homografie v současné češtině : Part-of-Speech and Morphological Ambiguity, Homophony and Homography in Contemporary Czech [PDF]

Časopis pro Moderní Filologii, 2015
The paper presents a classification of the types of morphological ambiguity and the types of homophony and homography in contemporary Czech occurring in the material of the SYN and SYN2013PUB corpora of the Czech National Corpus.
Petkevič, Vladimír
doaj  

Finger Vein Identification Using Pretrained Feature Matching Networks

IEEE Access
This work investigates the feasibility of using pretrained, feature-based matching neural networks for finger-vein–based person identification without retraining on biometric datasets.
Stepan Rydlo, Filip Orsag, Tomas Goldmann, Dusan Kolar   +3 more
doaj   +1 more source