scholarly journals B-spline snakes: a flexible tool for parametric contour detection

2000 ◽  
Vol 9 (9) ◽  
pp. 1484-1496 ◽  
Author(s):  
P. Brigger ◽  
J. Hoeg ◽  
M. Unser
Keyword(s):  
Contour Detection ◽  
Flexible Tool ◽  
B Spline

Right-Hemisphere Specialization for Contour Grouping

2014 ◽  
Vol 61 (5) ◽  
pp. 331-339 ◽  
Author(s):  
Gregor Volberg
Keyword(s):  
Right Hemisphere ◽  
Contour Detection ◽  
Global Processing ◽  
Detection Accuracy ◽  
Frequency Spectra ◽  
Visual Hemifield ◽  
Spatial Frequencies ◽  
A Chain ◽  
The Right ◽  
Hemisphere Specialization

Previous studies often revealed a right-hemisphere specialization for processing the global level of compound visual stimuli. Here we explore whether a similar specialization exists for the detection of intersected contours defined by a chain of local elements. Subjects were presented with arrays of randomly oriented Gabor patches that could contain a global path of collinearly arranged elements in the left or in the right visual hemifield. As expected, the detection accuracy was higher for contours presented to the left visual field/right hemisphere. This difference was absent in two control conditions where the smoothness of the contour was decreased. The results demonstrate that the contour detection, often considered to be driven by lateral coactivation in primary visual cortex, relies on higher-level visual representations that differ between the hemispheres. Furthermore, because contour and non-contour stimuli had the same spatial frequency spectra, the results challenge the view that the right-hemisphere advantage in global processing depends on a specialization for processing low spatial frequencies.

Subpixel Accurate Calibration of Line-Scan Multi-Spectral Images Using a Polynomial or B-Spline based Registration Model

2017 ◽  
Vol 61 (3) ◽  
pp. 305031-3050311 ◽  
Author(s):  
Timo Eckhard ◽  
Jia Eckhard ◽  
Eva M. Valero ◽  
Javier Hernández-Andrés
Keyword(s):  
B Spline ◽  
Line Scan

DEFORMATION OF B-SPLINE BASED PLASTICINE MATERIAL MODEL IN VIRTUAL REALITY ENVIRONMENT

2017 ◽  
Vol 5 (3) ◽  
pp. 15
Author(s):  
GANDOTRA SANDEEP ◽  
Pungotra Harish ◽  
Moudgil Prince Kumar ◽  
◽  
◽  
...  
Keyword(s):  
Virtual Reality ◽  
Material Model ◽  
Virtual Reality Environment ◽  
B Spline

STORM ICE OIL WIND WAVE WATCH SYSTEM (SIOWS): WEB GIS APPLICATION FOR MONITORING THE ARCTIC

2017 ◽  
Author(s):  
Alexander Myasoedov ◽  
Alexander Myasoedov ◽  
Sergey Azarov ◽  
Sergey Azarov ◽  
Ekaterina Balashova ◽  
...  
Keyword(s):  
Satellite Data ◽  
Wind Wave ◽  
Arctic Region ◽  
Web Gis ◽  
The Arctic ◽  
Flexible Tool ◽  
In Situ Data ◽  
Current State ◽  
Watch System

Working with satellite data, has long been an issue for users which has often prevented from a wider use of these data because of Volume, Access, Format and Data Combination. The purpose of the Storm Ice Oil Wind Wave Watch System (SIOWS) developed at Satellite Oceanography Laboratory (SOLab) is to solve the main issues encountered with satellite data and to provide users with a fast and flexible tool to select and extract data within massive archives that match exactly its needs or interest improving the efficiency of the monitoring system of geophysical conditions in the Arctic. SIOWS - is a Web GIS, designed to display various satellite, model and in situ data, it uses developed at SOLab storing, processing and visualization technologies for operational and archived data. It allows synergistic analysis of both historical data and monitoring of the current state and dynamics of the "ocean-atmosphere-cryosphere" system in the Arctic region, as well as Arctic system forecasting based on thermodynamic models with satellite data assimilation.

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