Results 251 to 260 of about 74,896 (309)

HALF-SIFT: High-Accurate Localized Features for SIFT

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009
In this paper, the accuracy of feature points in images detected by the scale invariant feature transform (SIFT) is analyzed. It is shown that there is a systematic error in the feature point localization. The systematic error is caused by the improper subpel and subscale estimation, an interpolation with a parabolic function.
K. Cordes, O. Muller, B. Rosenhahn, J. Ostermann   +3 more
openaire   +1 more source

FLANN Based Matching with SIFT Descriptors for Drowsy Features Extraction

International Conference on Intelligent Information Processing, 2019
This paper presents an approach for extraction of drowsy features from face. Drowsiness during driving is one of the major issues of road accident. Driver drowsiness can happen due to fatigue resulting from physical or mental exertion, sedating effects ...
V. Vijayan, Pushpalatha Kp
semanticscholar   +1 more source

ORB: An efficient alternative to SIFT or SURF

Vision, 2011
Ethan Rublee, V. Rabaud, K. Konolige, Gary R. Bradski   +3 more
semanticscholar   +1 more source

Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm

Nature Protocols, 2009
Prateek Kumar, S. Henikoff, P. Ng
semanticscholar   +1 more source

Sifting

Fourth Genre: Explorations in Nonfiction, 2022
openaire   +1 more source

OBJECT RECOGNITION WITH SIFT AND MI-SIFT METHODS

2015
This study, which has been commonly used in object recognition area for 10 years, is based on the recognition of special point-based objects and there are differences in some areas such as luminance, anguler and resistance from cyclic and dimensional changes.
HARDALAÇ, Fırat, ORMAN, Abdullah, URAL, Berkan, EREN, Ali   +3 more
openaire   +4 more sources

SIFT-MS

Selected ion flow tube mass spectrometry (SIFT-MS) is a chromatography-free, direct-analysis technique that is ideally suited to real-time, quantitative analysis of volatile compounds in air at trace concentrations. SIFT-MS utilises highly controlled, soft chemical ionisation – in the form of gas-phase ion–molecule reactions – coupled with mass ...
Vaughan S. Langford, Mark J. Perkins
openaire   +1 more source

2D-human face recognition using SIFT and SURF descriptors of face’s feature regions

The Visual Computer, 2020
Surbhi Gupta, Kutub Thakur, Munish Kumar
semanticscholar   +1 more source

Sifting short intervals II

Mathematical Proceedings of the Cambridge Philosophical Society, 1982
Let g(y) denote an arbitrary real-valued function satisfying g(y) → ∞ as y → ∞. One expects, and, subject to certain conjectures, Heath-Brown(3) has proved, that for all y in (1, X], apart from a set of measure o(X), the interval (y, y + g(y) log y] contains primes.
openaire   +2 more sources

A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK

2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2018
Shaharyar Ahmed Khan Tareen, Zahra Saleem   +1 more
semanticscholar   +1 more source