Results 291 to 300 of about 6,016,038 (318)
Some of the next articles are maybe not open access.

A Robust UAV Hyperspectral Image Stitching Method Based on Deep Feature Matching

IEEE Transactions on Geoscience and Remote Sensing, 2022
Unmanned aerial vehicle (UAV) hyperspectral imaging has been extensively applied in various fields. However, due to the limited imaging width, hyperspectral images (HSIs) captured by UAV need to be stitched, so as to effectively cover the study area.
Yan Mo   +3 more
semanticscholar   +1 more source

Image stitching with dynamic elements

Image and Vision Computing, 2009
This paper presents a new combination of techniques to create pleasing and physically consistent image mosaics despite the presence of moving objects in the scene. The technique uses heuristic seam selection in the intensity and gradient-domains to choose which pixels to use from each image and then blends them smoothly to create the final mosaic.
Gregory Dudek, Alec Mills
openaire   +2 more sources

Automatic Quaternion-Domain Color Image Stitching

IEEE Transactions on Image Processing
Taking advantages of the quaternion representation of the color image, this paper proposes a quaternion perceptual seamline detection model to generate the seamline in the quaternion domain.
Jiaxue Li, Yicong Zhou
semanticscholar   +1 more source

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks

AAAI Conference on Artificial Intelligence
Image stitching seamlessly integrates images captured from varying perspectives into a single wide field-of-view image. Such integration not only broadens the captured scene but also augments holistic perception in computer vision applications.
Zhiying Jiang   +4 more
semanticscholar   +1 more source

Underwater Image Stitching [PDF]

open access: possible, 2016
For years, panoramic image stitching has been an interesting problem for re- searchers. Several advances have been made in stitching images that are ac- quired outside of water, but the problem has been poorly explored for under- water images. Image stitching for underwater images can be used in numerous scientific applications in the fields of marine ...
openaire   +1 more source

Real-time Seamless Image Stitching in Autonomous Driving

Fusion, 2022
Autonomous vehicles depend on an accurate perception of their surroundings. For this purpose, different approaches are used to detect traffic participants such as cars, cyclists, and pedestrians, as well as static objects.
Christian Kinzig   +3 more
semanticscholar   +1 more source

UAV Image Stitching Using Shape-Preserving Warp Combined With Global Alignment

IEEE Geoscience and Remote Sensing Letters, 2022
In this letter, we propose a strategy for unmanned aerial vehicle (UAV) image stitching to generate natural-looking panoramas. Traditional methods using homography to perform alignment cannot account for images with parallax, so they require that the ...
Donghai Guo   +4 more
semanticscholar   +1 more source

Defect detection of large wind turbine blades based on image stitching and improved Unet network

Journal of Renewable and Sustainable Energy, 2022
Aiming at the problem that the existing computer vision detection technology is difficult to comprehensively and carefully detect the damage status of large wind turbine blades due to the limitation of field of view.
Wanrun Li   +3 more
semanticscholar   +1 more source

Image stitching techniques

2011
Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Commonly performed through the use of computer software, most approaches to image stitching require nearly exact overlaps between images and identical exposures to produce ...
S. G. Bhirud, Jalpa D. Mehta
openaire   +2 more sources

Algorithm for image stitching in the infrared

Infrared Technology and Applications XLV, 2019
The paper considers the question of stitching of infrared images obtained from different points and with the modified internal parameters of the camera. As test data, we use images taken by the thermal camera. To combine pairs of images, we use the several auxiliary algorithms are required, including: elimination of noise on images (denoising ...
Igor Shraifel   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy