Results 1 to 10 of about 74,797 (210)
SAR-SIFT: A SIFT-Like Algorithm for SAR Images [PDF]
The scale-invariant feature transform (SIFT) algorithm and its many variants are widely used in computer vision and in remote sensing to match features between images or to localize and recognize objects. However, mostly because of speckle noise, it does not perform well on synthetic aperture radar (SAR) images.
Julie Delon +2 more
exaly +4 more sources
SIFT Flow: Dense Correspondence across Scenes and Its Applications
While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem.
Ce Liu
exaly +2 more sources
Despite the success of hand-crafted features in computer visioning for many years, nowadays, this has been replaced by end-to-end learnable features that are extracted from deep convolutional neural networks (CNNs).
Dimitrios Tsourounis +4 more
doaj +2 more sources
SIFT: predicting amino acid changes that affect protein function
Steven Henikoff
exaly +2 more sources
Method for selection macular edema region using optical coherence tomography data [PDF]
The paper proposes a method for selection the region of diabetic macular edema in fundus images using OCT data. The relevance of the work is due to the need to create support systems for laser coagulation to increase its effectiveness.
Nataly Ilyasova +4 more
doaj +1 more source
Fast mosaicing method based on image resizing pre-processing [PDF]
In recent years, mosaic images have found great success thanks to the increasing development in the field of imaging as well as the technological evolution of computer systems (camera, mobile, etc.).
Abderrahmane Laraqui +2 more
doaj +1 more source
Evaluating Functional and Structural Consequences of the most Deleterious Single Nucleotide Polymorphisms of Human C-X-C Motif Chemokine 10 (CXCL10) Using in silico Analyses [PDF]
Single Nucleotide Polymorphisms, especially non-synonymous single-nucleotide polymorphisms (nsSNPs), which are the cause of various diseases, are a major issue in genetics.
Mozhdeh Riahi, Mojtaba Emadi Baygi
doaj +1 more source
ARCHIMEDES is a suite of algorithms for planning and task allocation to monitor and surveil a geometrically defined area with a group of heterogenous agents. We focus on maximizing the information gained over a fleet of such agents.
Simon Schoenbeck, Ugur Kuter
doaj +1 more source
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 +2 more
doaj +1 more source
Traffic Sign Recognition (TSR) is one of the key aspects for autonomous driving and it plays a vital role to make autonomous driving successful, but that’s only possible if TSR is efficient enough and reliable.
Stefan Twieg, Ravin Menghani
doaj +1 more source

