Results 31 to 40 of about 20,695 (264)

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

PLoS ONE, 2015
Partial occlusions, large pose variations, and extreme ambient illumination conditions generally cause the performance degradation of object recognition systems.
Haitao Nie, Kehui Long, Jun Ma, Dan Yue, Jinguo Liu   +4 more
doaj   +1 more source

Preaching on the revised common lectionary for the feast of Christ the King: Joy for intuitive thinking types, nightmare for sensing feeling types?

HTS Teologiese Studies/Theological Studies, 2021
This qualitative study was positioned within an emerging scientific field concerned with the interaction between biblical text and the psychological profile of the preacher.
Leslie J. Francis, Greg Smith, Jonathan Evans   +2 more
doaj   +1 more source

SWF-SIFT approach for infrared face recognition

Tsinghua Science and Technology, 2010
The scale invariant feature transform (SIFT) feature descriptor is invariant to image scale and location, and is robust to affine transformations and changes in illumination, so it is a powerful descriptor used in many applications, such as object recognition, video tracking, and gesture recognition.
Chunlin Tan, Hongqiao Wang, Pel Deli
openaire   +1 more source

A NEW PARADIGM FOR MATCHING UAV- AND AERIAL IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
This paper investigates the performance of SIFT-based image matching regarding large differences in image scaling and rotation, as this is usually the case when trying to match images captured from UAVs and airplanes.
T. Koch, X. Zhuo, P. Reinartz, F. Fraundorfer   +3 more
doaj   +1 more source

A Coarse-to-Fine Geometric Scale-Invariant Feature Transform for Large Size High Resolution Satellite Image Registration

Sensors, 2018
Large size high resolution (HR) satellite image matching is a challenging task due to local distortion, repetitive structures, intensity changes and low efficiency.
Xueli Chang, Siliang Du, Yingying Li, Shenghui Fang   +3 more
doaj   +1 more source

Scale-Invariant Localization of Electric Vehicle Charging Port via Semi-Global Matching of Binocular Images

Applied Sciences, 2022
Automatic charging for electric vehicles has broad development prospects for meeting the personalized service experience of users while overcoming the inherent safety hazards.
Taoyong Li, Chunlei Xia, Ming Yu, Panpan Tang, Wei Wei, Dongmei Zhang   +5 more
doaj   +1 more source

A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features [PDF]

2010 20th International Conference on Pattern Recognition, 2010
Peer ...
Sanromà Güell, Gerard, Alquézar Mancho, René, Serratosa Casanelles, Francesc   +2 more
openaire   +2 more sources

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

Molecular 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, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

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

Annals 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, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source

Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features

Remote Sensing
Multi-modal remote sensing images often exhibit complex and nonlinear radiation differences which significantly hinder the performance of traditional feature-based image registration methods such as Scale-Invariant Feature Transform (SIFT).
Yi Yang, Shuo Liu, Haitao Zhang, Dacheng Li, Ling Ma   +4 more
doaj   +1 more source