Results 11 to 20 of about 6,314,806 (301)
Frontiers in Bioengineering and Biotechnology, 2023 The inadequacy of existing colorectal imaging tools has significantly obstructed the efficient detection of colorectal cancer. To address this issue, this work presents the cross-scale endoscopic imaging of rectal tumors with a combined photoacoustic ...
Jinsheng Jiang +4 more
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A Multi-View Thermal–Visible Image Dataset for Cross-Spectral Matching
Remote Sensing, 2022 Cross-spectral local feature matching between visual and thermal images benefits many vision tasks in low-light environments, including image-to-image fusion and camera re-localization. An essential prerequisite for unleashing the potential of supervised deep learning algorithms in the area of visible–thermal matching is the availability of large-scale
Yuxiang Liu +6 more
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Frontiers in Neuroscience, 2023 Oscillatory processes at all spatial scales and on all frequencies underpin brain function. Electrophysiological Source Imaging (ESI) is the data-driven brain imaging modality that provides the inverse solutions to the source processes of the EEG, MEG ...
Deirel Paz-Linares +23 more
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PHROG: A Multimodal Feature for Place Recognition
Sensors, 2017 Long-term place recognition in outdoor environments remains a challenge due to high appearance changes in the environment. The problem becomes even more difficult when the matching between two scenes has to be made with information coming from different ...
Fabien Bonardi +5 more
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Feature Point Descriptors: Infrared and Visible Spectra
Sensors, 2014 This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum.
Pablo Ricaurte +4 more
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Cross Spectral Image Reconstruction Using a Deep Guided Neural Network
2023 IEEE International Conference on Image Processing (ICIP), 2023 Cross spectral camera arrays, where each camera records different spectral content, are becoming increasingly popular for RGB, multispectral and hyperspectral imaging, since they are capable of a high resolution in every dimension using off-the-shelf hardware.
Frank Sippel +2 more
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Psi_B-energy operator and cross-power spectral density [PDF]
, 2014 In this paper we consider the hermitian extension of the cross-Psi_B-energy operator that we will denote by Psi_H. In addition, cross energy terms are formalized through multivariate signals representation.
CHONAVEL, Thierry +2 more
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Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators [PDF]
, 2012 International audienceThis paper addresses the imaging of objects located under a forest cover using polarimetric synthetic aperture radar tomography (POLTOMSAR) at L-band.
Huang, Yue +5 more
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Sensors, 2021 An improved spectral reflectance estimation method was developed to transform captured RGB images to spectral reflectance. The novelty of our method is an iteratively reweighted regulated model that combines polynomial expansion signals, which was ...
Zhen Liu +6 more
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Features for Cross Spectral Image Matching: A Survey
Bulletin of Electrical Engineering and Informatics, 2018 In recent years, cross spectral matching has been gaining attention in various biometric systems for identification and verification purposes. Cross spectral matching allows images taken under different electromagnetic spectrums to match each other. In cross spectral matching, one of the keys for successful matching is determined by the features used ...
Maulisa Oktiana +3 more
openaire +3 more sources