Results 31 to 40 of about 23,131 (301)

Research of Image Authenticity Detection Method Based on Feature Matching [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban, 2022
In view of the problem that the tamper detection algorithm based on SIFT feature matching had, such as unclear location of tamper region and interference of SIFT mismatch on tamper region resolution, a method of image tamper location based on ...
HUA Bei, CHEN Qian, HUANG Ruwei
doaj   +1 more source

A method of TV Logo Recognition based on SIFT [PDF]

open access: yesAdvances in Intelligent Systems Research, 2013
TV logo is an important symbol of TV station. Automatic identification of TV logo can be used in television monitoring and media assets management. By analyzing the characteristics of TV logos, a new algorithm for TV logo recognition is proposed in this paper.
Shi Ping, Pan Da
openaire   +1 more source

3MRS: An Effective Coarse-to-Fine Matching Method for Multimodal Remote Sensing Imagery

open access: yesRemote Sensing, 2022
The fusion of image data from multiple sensors is crucial for many applications. However, there are significant nonlinear intensity deformations between images from different kinds of sensors, leading to matching failure. To address this need, this paper
Zhongli Fan   +6 more
doaj   +1 more source

An Improved Registration Method for UAV-Based Linear Variable Filter Hyperspectral Data

open access: yesRemote Sensing
Linear Variable Filter (LVF) hyperspectral cameras possess the advantages of high spectral resolution, compact size, and light weight, making them highly suitable for unmanned aerial vehicle (UAV) platforms. However, challenges arise in data registration
Xiao Wang   +6 more
doaj   +1 more source

Using an improved SIFT algorithm and fuzzy closed-loop control strategy for object recognition in cluttered scenes.

open access: yesPLoS ONE, 2015
Partial occlusions, large pose variations, and extreme ambient illumination conditions generally cause the performance degradation of object recognition systems.
Haitao Nie   +4 more
doaj   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

open access: yesMolecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain   +10 more
wiley   +1 more source

Matching results based on SIFT method.

open access: yes, 2017
Matching results based on SIFT method.
Zhanlong Yang (3839005)   +2 more
core   +1 more source

A comparative study of image low level feature extraction algorithms

open access: yesEgyptian Informatics Journal, 2013
Feature extraction and matching is at the base of many computer vision problems, such as object recognition or structure from motion. Current methods for assessing the performance of popular image matching algorithms are presented and rely on costly ...
M.M. El-gayar, H. Soliman, N. meky
doaj   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

Analysis of the vehicle's flow based on the neural network and the SIFT method [PDF]

open access: yes
The article presents a vehicle counting system based on TensorFlow neural network models and the SIFT machine vision method. An experimental comparison was made of five detectors consisting of metaarchitecture (Faster R-CNN, SSD) and neural networks ...
Victor Ivliev   +3 more
core   +2 more sources

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