[HTML][HTML] Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms

IA Doush, ALB Sahar - Journal of King Saud University-Computer and …, 2017 - Elsevier
Banknote recognition means classifying the currency (coin and paper) to the correct class. In
this paper, we developed a dataset for Jordanian currency. After that we applied automatic …

Combining multispectral and hyperspectral data to estimate nitrogen status of tea plants (Camellia sinensis (L.) O. Kuntze) under field conditions

Q Cao, G Yang, D Duan, L Chen, F Wang, B Xu… - … and Electronics in …, 2022 - Elsevier
Nitrogen (N) plays a pivotal role in management of tea plantation, with significant impacts on
the growth, productivity, and nutrition status of tea plants. The existing methods for N content …

Image identification using SIFT algorithm: performance analysis against different image deformations

E Karami, M Shehata, A Smith - arXiv preprint arXiv:1710.02728, 2017 - arxiv.org
Image identification is one of the most challenging tasks in different areas of computer
vision. Scale-invariant feature transform is an algorithm to detect and describe local features …

Moving-object tracking algorithm based on PCA-SIFT and optimization for underground coal mines

J Dai-Hong, D Lei, L Dan, Z San-You - IEEE Access, 2019 - ieeexplore.ieee.org
In view of the complex and changeable environment in underground coal mines, an
improved algorithm based on the principal component analysis-scale invariant feature …

A novel image registration approach via combining local features and geometric invariants

Y Lu, K Gao, T Zhang, T Xu - PloS one, 2018 - journals.plos.org
Image registration is widely used in many fields, but the adaptability of the existing methods
is limited. This work proposes a novel image registration method with high precision for …

Improved SIFT image registration algorithm on characteristic statistical distributions and consistency constraint

Y Chen, L Shang - Optik, 2016 - Elsevier
In the process of SIFT (Scale Invariant Feature Transform) image registration algorithm; the
principal orientation is affected by the dispersion of histogram. Besides; the feature …

[HTML][HTML] Enhancement of measurement accuracy of discontinuous specular objects with stereo vision deflectometer

Z Zhang, Y Wang, F Gao, Y Xu, X Jiang - Measurement, 2022 - Elsevier
Phase measurement deflectometry (PMD) is widely used for specular surface measurement.
However, when the measured surface is discontinuous, its measurement accuracy will …

An efficient ORB based face recognition framework for human-robot interaction

A Vinay, AS Cholin, AD Bhat, KNB Murthy… - Procedia computer …, 2018 - Elsevier
Abstract In Human-Robot Interaction (HRI), quick and efficient FR techniques are often
required in service robots. In a real time scenario, it is absolute that face image patterns …

Modified SIFT descriptors for face recognition under different emotions

N Neeru, L Kaur - Journal of engineering, 2016 - Wiley Online Library
The main goal of this work is to develop a fully automatic face recognition algorithm. Scale
Invariant Feature Transform (SIFT) has sparingly been used in face recognition. In this …

Feature extraction of real-time image using Sift algorithm

N Sasikala, V Swathipriya, M Ashwini, V Preethi… - European Journal of …, 2020 - ejece.org
This paper deals with image processing and feature extraction. Feature extraction plays a
vital role in the field of image processing. There exist different image pre-processing …