Results 11 to 20 of about 189,815 (388)
Journal of Imaging, 2022 Despite the success of hand-crafted features in computer visioning for many years, nowadays, this has been replaced by end-to-end learnable features that are extracted from deep convolutional neural networks (CNNs).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 Matching by Context Exposed [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), March 2022.
F. Bellavia
openaire +5 more sources
Low-rank SIFT: An Affine Invariant Feature for Place Recognition [PDF]
arXiv, 2014 In this paper, we present a novel affine-invariant feature based on SIFT, leveraging the regular appearance of man-made objects. The feature achieves full affine invariance without needing to simulate over affine parameter space. Low-rank SIFT, as we name the feature, is based on our observation that local tilt, which are caused by changes of camera ...
Caih, Shengnan +3 more
arxiv +3 more sources
SIFT: predicting amino acid changes that affect protein function [PDF]
Nucleic Acids Res., 2003 Single nucleotide polymorphism (SNP) studies and random mutagenesis projects identify amino acid substitutions in protein-coding regions. Each substitution has the potential to affect protein function. SIFT (Sorting Intolerant From Tolerant) is a program
P.C. Ng
openalex +2 more sources
Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms [PDF]
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, Sahar AL-Btoush
doaj +3 more sources
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator [PDF]
International Workshop on Multi-disciplinary Trends in Artificial Intelligence, 2016 Deriving an effective facial expression recognition component is important for a successful human-computer interaction system. Nonetheless, recognizing facial expression remains a challenging task. This paper describes a novel approach towards facial expression recognition task.
C. Tee, M. Al-Shabi, W. Cheah, M. Goh
arxiv +2 more sources
Recent developments and applications of selected ion flow tube mass spectrometry (SIFT‐MS)
Mass spectrometry reviews (Print), 2023 Selected ion flow tube mass spectrometry (SIFT‐MS) is now recognized as the most versatile analytical technique for the identification and quantification of trace gases down to the parts‐per‐trillion by volume, pptv, range. This statement is supported by
David R. Smith +4 more
semanticscholar +1 more source
The Qualitative Report, 2021 The Sort and Sift, Think and Shift qualitative data analysis approach is an iterative process where analysts dive into data to understand its content, dimensions, and properties, and then step back to assess what they have learned and to determine next ...
Raymond C. Maietta +4 more
semanticscholar +1 more source
Indoor Place Recognition and Localization Using Histogram of Oriented Gradient with Deep Learning
Zanco Journal of Pure and Applied Sciences, 2020 Indoor place recognition is a crucial and challenging field of computer science. It is widely used in robotics and computer vision for various applications.
zina khaleel jalal +2 more
doaj +1 more source
Multi-sensor remote sensing image alignment based on fast algorithms
Journal of Intelligent Systems, 2023 Remote sensing image technology to the ground has important guiding significance in disaster assessment and emergency rescue deployment. In order to realize the fast automatic registration of multi-sensor remote sensing images, the remote sensing image ...
Shu Tao
doaj +1 more source