Results 81 to 90 of about 155,901 (241)
Gender Recognition Based on Sift Features
This paper proposes a robust approach for face detection and gender classification in color images. Previous researches about gender recognition suppose an expensive computational and time-consuming pre-processing step in order to alignment in which face
Yousefi, Sahar, Zahedi, Morteza
core +1 more source
Robust image matching algorithm using SIFT on multiple layered strategies [PDF]
As for the unsatisfactory accuracy caused by SIFT (scale-invariant feature transform) in complicated image matching, a novel matching method on multiple layered strategies is proposed in this paper. Firstly, the coarse data sets are filtered by Euclidean
Chen, Y., Hu, E., Shang, L.
core +3 more sources
Retinal identification based on retinal vasculatures in the retina provides the most secure and accurate means of authentication among biometrics and has primarily been used in combination with access control systems at high security facilities. Recently,
Xiaoming Xi+3 more
doaj +1 more source
On the use of SIFT features for face authentication [PDF]
Several pattern recognition and classification techniques have been applied to the biometrics domain. Among them, an interesting technique is the Scale Invariant Feature Transform (SIFT), originally devised for object recognition.
Bicego, Manuele+3 more
core +1 more source
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Lorentz violation, Gravity, Dissipation and Holography [PDF]
We reconsider Lorentz Violation (LV) at the fundamental level. We show that Lorentz Violation is intimately connected with gravity and that LV couplings in QFT must always be fields in a gravitational sector.
A Dhar+98 more
core +4 more sources
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam+2 more
wiley +1 more source
IMPROVING SIFT FOR IMAGE FEATURE EXTRACTION
This paper reviews a classical image feature extraction algorithm, namely SIFT (i.e. Scale Invariant Feature Transform) and modifies it in order to increase its repeatability score.
Renata DEAK+2 more
doaj +1 more source
Implementasi dan Analisis Face Recognition Menggunakan Scale Invariant Feature Transform (SIFT) Pada Sistem Autentikasi User [PDF]
Keamanan sistem menjadi kebutuhan utama yang harus dimiliki suatu perangkat. Adanya sistem autentikasi user, untuk mengenali user privileged agar dapat mengakses perangkat serta menolak akses kepada user non-privileged.
Alvin Budiargo
core
Improved SIFT algorithm for place categorization [PDF]
The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed.
Ahmad, Siti Anom+3 more
core +1 more source