Results 91 to 100 of about 1,551,938 (158)

MGHE-Net: A Transformer-Based Multi-Grid Homography Estimation Network for Image Stitching

IEEE Access
Image stitching is one of the research hotspots in the fields of computer vision and image processing. Existing methods typically use traditional algorithms or deep learning-based algorithms to achieve this task.
Yun Tang, Siyuan Tian, Pengfei Shuai, Yu Duan   +3 more
doaj   +1 more source

Homography estimation with deep convolutional neural networks by random color transformations [PDF]

, 2019
Most classic approaches to homography estimation are based on the filtering of outliers by means of the RANSAC method. New proposals include deep convolutional neural networks.
Molina-Cabello, Miguel Ángel, Luque-Baena, Rafael Marcos, Elizondo Acuña, David Alberto, López-Rubio, Ezequiel   +3 more
core  

Robust Calibration Technique for Precise Transformation of Low-Resolution 2D LiDAR Points to Camera Image Pixels in Intelligent Autonomous Driving Systems

Vehicles
In the context of autonomous driving, the fusion of LiDAR and camera sensors is essential for robust obstacle detection and distance estimation. However, accurately estimating the transformation matrix between cost-effective low-resolution LiDAR and ...
Ravichandran Rajesh, Pudureddiyur Venkataraman Manivannan   +1 more
doaj   +1 more source

Intelligent Sampling Consensus for Homography Estimation in Football Videos Using Featureless Unpaired Points

IEEE Access
Estimating the homography matrix between images captured under radically different camera poses and zoom factors is a complex challenge. Traditional methods rely on the Random Sample Consensus (RANSAC) algorithm, which requires pairs of homologous points,
George Nousias, Konstantinos K. Delibasis, Ilias G. Maglogiannis   +2 more
doaj   +1 more source

Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint

, 2022
Homography estimation is erroneous in the case of large-baseline due to the low image overlay and limited receptive field. To address it, we propose a progressive estimation strategy by converting large-baseline homography into multiple intermediate ones,
Li, Haipeng, Liu, Shuaicheng, Han, Songchen, Jiang, Hai, Lu, Yuhang   +4 more
core  

Image Stitching of Low-Resolution Retinography Using Fundus Blur Filter and Homography Convolutional Neural Network

Information
Great advances in stitching high-quality retinal images have been made in recent years. On the other hand, very few studies have been carried out on low-resolution retinal imaging.
Levi Santos, Maurício Almeida, João Almeida, Geraldo Braz, José Camara, António Cunha   +5 more
doaj   +1 more source

Dense multi-view homography estimation and plane segmentation

, 2016
When a planar structure is observed from multiple views, the projections of its corresponding 3D points on each image are related by a homography. Its estimation is a key step in many computer vision tasks where either the rigid motion between views or a
Bergamasco, Filippo, Schiavinato, Michele, Andrea Torsello, Cosmo, Luca, Luca Cosmo, Andrea Albarelli, Michele Schiavinato, Albarelli, Andrea, Filippo Bergamasco, Torsello, Andrea   +9 more
core   +1 more source

Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices

Information
Accurately estimating the absolute distance and height of objects in open areas is quite challenging, especially when based solely on single images. In this paper, we tackle these issues and propose a new method that blends traditional computer vision ...
Jan Gąsienica-Józkowy, Bogusław Cyganek, Mateusz Knapik, Szymon Głogowski, Łukasz Przebinda   +4 more
doaj   +1 more source

Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation

IEEE Access
In computer vision, finding correct point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, etc.
Yueh-Cheng Huang, Yi-Yu Hsieh, Chen-Tao Hsu, Jen-Hui Chuang   +3 more
doaj   +1 more source

Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation

Homography estimation is a fundamental problem in computer vision. Previous works mainly focus on estimating either a single homography, or multiple homographies based on mesh grid division of the image.
Zhang, Chao, Xu, Lu, Wang, Qiang, Liu, Hong, Wang, Yasi   +4 more
core   +1 more source