Results 11 to 20 of about 6,016,038 (318)

Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images [PDF]

open access: yesIEEE Transactions on Image Processing, 2021
Traditional feature-based image stitching technologies rely heavily on feature detection quality, often failing to stitch images with few features or low resolution. The learning-based image stitching solutions are rarely studied due to the lack of labeled data, making the supervised methods unreliable.
Lang Nie   +4 more
openaire   +6 more sources

Utilization of Merge-Sorting Method to Improve Stitching Efficiency in Multi-Scene Image Stitching

open access: yesApplied Sciences, 2023
Aiming at the problem of single stitching scenes (ordered or disordered images), which are time-consuming and involve complex computation during the image stitching, a multi-scene image stitching method based on merge sorting is proposed called merge ...
Wei Liu   +4 more
doaj   +2 more sources

A Comparative Analysis of Feature Detectors and Descriptors for Image Stitching

open access: yesApplied Sciences, 2023
Image stitching is a technique that is often employed in image processing and computer vision applications. The feature points in an image provide a significant amount of key information.
Surendra Kumar Sharma   +2 more
doaj   +2 more sources

An Improved SIFT Underwater Image Stitching Method

open access: yesApplied Sciences, 2023
Underwater image stitching is a technique employed to seamlessly merge images with overlapping regions, creating a coherent underwater panorama. In recent years, extensive research efforts have been devoted to advancing image stitching methodologies for ...
Haosu Zhang   +4 more
doaj   +2 more sources

UAV Image Stitching Based on Optimal Seam and Half-Projective Warp

open access: yesRemote Sensing, 2022
This paper introduces an Unmanned Aerial Vehicle (UAV) image stitching method, based on the optimal seam algorithm and half-projective warp, that can effectively retain the original information of the image and obtain the ideal stitching effect.
Jun Chen   +4 more
doaj   +2 more sources

Research on seamless image stitching based on fast marching method

open access: yesIET Image Processing, 2023
Image stitching is an important way to achieve large‐field high‐resolution imaging. The inconsistencies in brightness and structure and defects in ghosting, blurring and misalignment between images, which are inevitable and difficult to eliminate, make a
Weidong Pan   +4 more
doaj   +2 more sources

Elimination of Irregular Boundaries and Seams for UAV Image Stitching with a Diffusion Model

open access: yesRemote Sensing
Unmanned aerial vehicle (UAV) image stitching refers to the process of combining multiple UAV images into a single large-format, wide-field image, and the stitched image often contains large irregular boundaries and multiple stitching seams.
Jun Chen   +5 more
doaj   +2 more sources

Advanced Image Stitching Method for Dual-Sensor Inspection [PDF]

open access: yesSensors
Efficient image stitching plays a vital role in the Non-Destructive Evaluation (NDE) of infrastructures. An essential challenge in the NDE of infrastructures is precisely visualizing defects within large structures.
Sara Shahsavarani   +3 more
doaj   +2 more sources

Local-Peak Scale-Invariant Feature Transform for Fast and Random Image Stitching [PDF]

open access: yesSensors
Image stitching aims to construct a wide field of view with high spatial resolution, which cannot be achieved in a single exposure. Typically, conventional image stitching techniques, other than deep learning, require complex computation and are thus ...
Hao Li   +3 more
doaj   +2 more sources

Multiple Combined Constraints for Image Stitching [PDF]

open access: green2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Several approaches to image stitching use different constraints to estimate the motion model between image pairs. These constraints can be roughly divided into two categories: geometric constraints and photometric constraints. In this paper, geometric and photometric constraints are combined to improve the alignment quality, which is based on the ...
Kai Chen   +4 more
openalex   +5 more sources

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