Results 1 to 10 of about 20,596 (166)
Journal of King Saud University - Computer and Information Sciences, 2017 Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency.
Iyad Abu Doush
exaly +3 more sources
IllumiSIFT: A Cascade Framework for DoG Pyramid Learning in Darkness [PDF]
SensorsIn visual object recognition problems, low light exposure and low-quality images present significant challenges in navigation, surveillance, and image retrieval applications, where reliable feature detection is critical.
Dewan Fahim Noor +2 more
doaj +2 more sources
Sketch to photo recognition using IF and Fuzzy minimal structure oscillation in the sift domain [PDF]
Scientific ReportsThe use of face recognition based on numerous sketches is crucial for both law enforcement and digital entertainment. Due to lack of information given by the victim, it is difficult to identify faces from several sketches.
Bibek Majumder +4 more
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HTS Teologiese Studies/Theological Studies, 2022 The Matthean parable of the labourers in the vineyard is open to multiple interpretations. For some, the parable may speak of God’s unlimited grace and generosity; for others the parable may speak of God’s unfairness.
Leslie J. Francis +2 more
doaj +1 more source
Quick sift(QSIFT), an approach to reduce SIFT computational cost [PDF]
2017 Artificial Intelligence and Signal Processing Conference (AISP), 2017 SIFT has been proven to be the most robust local rotation and illumination invariant feature descriptor. Being fully scale invariant is the most important advantage of this descriptor. The major drawback of SIFT is time complexity which prevents utilizing SIFT in real-time applications.
Fazel, Zahra +3 more
openaire +2 more sources
Sensors, 2023 Airborne VHR SAR image registration is a challenging task. The number of CPs is a key factor for complex CP-based image registration. This paper presents a two-step matching approach to obtain more CPs for VHR SAR image registration.
Yang Deng, Yunkai Deng
doaj +1 more source
Novel Parallel Approach for SIFT Algorithm Implementation [PDF]
Journal of information and communication convergence engineering, 2013 The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach.
Tran Su Le, Jong-Soo Lee
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Pharmaceutical Residual Solvent Analysis: A Comparison of GC-FID and SIFT-MS Performance
AppliedChem, 2023 Residual solvents in pharmaceutical excipients, active pharmaceutical ingredients (APIs), and finished products are usually analyzed using gas chromatography (GC)-based techniques according to a pharmacopeial monograph, such as the United States ...
Mark J. Perkins +3 more
doaj +1 more source
A Spectral Approach for Sifting Process in Empirical Mode Decomposition [PDF]
IEEE Transactions on Signal Processing, 2010 In this paper, we propose an alternative to the algorithmic definition of the sifting process used in the original Huang's empirical mode decomposition (EMD) method. Although it has been proven to be particularly effective in many applications, EMD method has several drawbacks. The major problem with EMD is the lack of theoretical Framework which leads
Niang, Oumar +2 more
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MBR-SIFT: A mirror reflected invariant feature descriptor using a binary representation for image matching. [PDF]
PLoS ONE, 2017 The traditional scale invariant feature transform (SIFT) method can extract distinctive features for image matching. However, it is extremely time-consuming in SIFT matching because of the use of the Euclidean distance measure. Recently, many binary SIFT
Mingzhe Su +4 more
doaj +1 more source