Results 331 to 340 of about 7,404,152 (394)

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Conference on Empirical Methods in Natural Language Processing, 2023
Large Vision-Language Model (LVLM) has enhanced the performance of various downstream tasks in visual-language understanding. Most existing approaches encode images and videos into separate feature spaces, which are then fed as inputs to large language ...
Bin Lin, Bin Zhu, Yang Ye, Munan Ning, Peng Jin, Li Yuan   +5 more
semanticscholar   +1 more source

Automatic alignment of radionuclide images

Physics in Medicine & Biology, 1982
The variability of the position, dimensions and orientation of a radionuclide image within the field of view of a gamma camera hampers attempts to analyse the image numerically. A method is described for using a set of training images of a particular type, in this case right lateral brain images, to define the likely variations in the position ...
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BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment

IEEE Transactions on Geoscience and Remote Sensing
Despite the success of deep learning-based change detection (CD) methods, their existing insufficiency in temporal (channel and spatial) and multiscale alignment has rendered them insufficient capability in mitigating external factors (illumination ...
Haotian Zhang, Hao Chen, Chenyao Zhou, Keyan Chen, Chenyang Liu, Zhengxia Zou, Z. Shi   +6 more
semanticscholar   +1 more source

SAR2OPT: Image Alignment Between Multi-Modal Images Using Generative Adversarial Networks

IEEE International Geoscience and Remote Sensing Symposium, 2019
This work proposes an image-alignment method for multi-modal images (e.g., synthetic aperture radar (SAR) and optical satellite images) using an image-feature-based keypoint-matching algorithm.
H. Toriya, A. Dewan, I. Kitahara
semanticscholar   +1 more source

Radiometric alignment of image sequences

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter speed, image intensity of a same object may vary during the acquisition of an image sequence due to auto exposure feature of the camera.
Marc Pollefeys, Seon Joo Kim
openaire   +2 more sources

Automatic alignment of stereo images

Proceedings, annual meeting, Electron Microscopy Society of America, 1994
Stereoscopic pairs of electron microscope images are used for quantitative 3D information. A prerequisite for the measurement is to position the two images correctly relative to each other and with the stereo rotation axis of each image aligned vertically for viewing.
John C. Haselgrove, Lou Fodor, Lee D. Peachey   +2 more
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VLTI image alignment monitoring

SPIE Proceedings, 2003
In its current configuration, the VLT Interferometer (VLTI) combines the light collected by two telescopes and directs it towards the commissioning instrument called VINCI. In an interferometer, the optical path ranging from a telescope to the point where beams are combined is referred as an arm of the interferometer.
Bertrand Koehler, Philippe B. Gitton, Pierre Kervella, Michael Cantzler   +3 more
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Aligning images with multiple objectives

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
Most high level interpretation tasks in image analysis rely on image registration (alignment) process. Basically, image registration consists in finding the geometric transformation that best aligns two or several images. In this paper, we focus on mono-modality image alignment. The core task to do in this case is to put into correspondence two sets of
Mohamed Batouche, Souham Meshoul
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Webcam Image Alignment

2011
N/A Type of Report: MS Project Report Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St.
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Online Subspace Learning from Gradient Orientations for Robust Image Alignment

IEEE Transactions on Image Processing, 2019
Robust and efficient image alignment remains a challenging task, due to the massiveness of images, great illumination variations between images, partial occlusion, and corruption.
Qingqing Zheng, Yi Wang, P. Heng
semanticscholar   +1 more source