Results 31 to 40 of about 198,198 (336)
Sifted colimits play an important role in categorical algebra. Apart from their convenient objectwise construction in algebraic categories, they are used in the definition of strongly finitely presentable (or perfectly presentable) objects [see, e.g., \textit{J.~Adámek, J.~Rosický} and \textit{E.~M. Vitale}, Algebraic theories.
Adamek, J. +2 more
openaire +3 more sources
An Adaptive Method for Star Extraction from Digital Astronomical Images [PDF]
Celestial positioning has been used for navigation purposes for many years. Stars as the extra-terrestrial benchmarks provide unique opportunity in absolute point positioning.
M. A. Sharifi +2 more
doaj
Detección de movimiento en tiempo real utilizando flujo óptico
Se muestra la implementación de algoritmos de flujo óptico y extracción de características para el reconocimiento y detección de objetos en tiempo real de una secuencia de imágenes.
Jonathan Avendaño Pérez +3 more
doaj +1 more source
A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms
This paper presents a novel object tracking framework for interest point based feature extracting algorithms. The proposed framework uses the feature extracting algorithm without making any changes and it relies on outlier detection, object modelling ...
Zafer Guler, Ahmet Cinar, Erdal Ozbay
doaj +1 more source
Selected ion flow tube mass spectrometry, SIFT-MS, is a non-separative method for direct quantitative analyses of volatile compounds, VOCs, in air and humid breath based on chemical ionization.
P. Španěl, David R. Smith
semanticscholar +1 more source
Early environmental field research career exploration: An analysis of impacts on precollege apprentices [PDF]
Research apprenticeships offer opportunities for deep understanding of scientific practice, transparency about research careers, and possible transformational effects on precollege youth.
Beyer, Katherine M +3 more
core +2 more sources
Privacy Leakage of SIFT Features via Deep Generative Model Based Image Reconstruction [PDF]
Many practical applications, e.g., content based image retrieval and object recognition, heavily rely on the local features extracted from the query image.
Haiwei Wu, Jiantao Zhou
semanticscholar +1 more source
Fast, Dense Feature SDM on an iPhone
In this paper, we present our method for enabling dense SDM to run at over 90 FPS on a mobile device. Our contributions are two-fold. Drawing inspiration from the FFT, we propose a Sparse Compositional Regression (SCR) framework, which enables a ...
Fagg, Ashton +2 more
core +1 more source
Selecting surface features for accurate multi-camera surface reconstruction [PDF]
This paper proposes a novel feature detector for selecting local textures that are suitable for accurate multi-camera surface reconstruction, and in particular planar patch fitting techniques.
Popham, T. J., Wilson, Roland
core +2 more sources
Low-rank SIFT: An Affine Invariant Feature for Place Recognition
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.
Caih, Shengnan +3 more
core +1 more source

