Three-dimensional motion measurements using feature tracking

2008 ◽  
Vol 55 (4) ◽  
pp. 800-810 ◽  
Author(s):  
J. Kuo ◽  
O.T. von Ramm
Keyword(s):  
Feature Tracking ◽  
Three Dimensional ◽  
Motion Measurements

scholarly journals The five axes of the Turtle: symmetry and asymmetry in NGC 6210

2021 ◽  
Author(s):  
William J Henney ◽  
J A López ◽  
Ma T García-Díaz ◽  
M G Richer
Keyword(s):  
Planetary Nebula ◽  
Morphological Study ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Line Of Sight ◽  
Velocity Mapping ◽  
High Ionization ◽  
Motion Measurements ◽  
Five Axes ◽  
Triple Star

Abstract We carry out a comprehensive kinematic and morphological study of the asymmetrical planetary nebula: NGC 6210, known as the Turtle. The nebula’s spectacularly chaotic appearance has led to proposals that it was shaped by mass transfer in a triple star system. We study the three-dimensional structure and kinematics of its shells, lobes, knots, and haloes by combining radial velocity mapping from multiple long-slit spectra with proper motion measurements from multi-epoch imaging. We find that the nebula has five distinct ejection axes. The first is the axis of the bipolar, wind-blown inner shell, while the second is the axis of the lop-sided, elliptical, fainter, but more massive intermediate shell. A further two axes are bipolar flows that form the point symmetric, high-ionization outer lobes, all with inclinations close to the plane of the sky. The final axis, which is inclined close to the line of sight, traces collimated outflows of low-ionization knots. We detect major changes in outflow directions during the planetary nebula phase, starting at or before the initial ionization of the nebula 3500 years ago. Most notably, the majority of redshifted low-ionization knots have kinematic ages greater than 2000 years, whereas the majority of blueshifted knots have ages younger than 2000 years. Such a sudden and permanent 180-degree flip in the ejection axis at a relatively late stage in the nebular evolution is a challenge to models of planetary nebula formation and shaping.

Analysis of Three-Dimensional Image Data: Display and Feature Tracking

1992 ◽  
pp. 237-256 ◽  
Author(s):  
Zvi Kam ◽  
Hans Chen ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Feature Tracking ◽  
Three Dimensional ◽  
Image Data ◽  
Data Display ◽  
Dimensional Image

Neck range of motion measurements using a new three-dimensional motion analysis system: validity and repeatability

2015 ◽  
Vol 24 (12) ◽  
pp. 2807-2815 ◽  
Author(s):  
Haruhi Inokuchi ◽  
Michio Tojima ◽  
Hiroshi Mano ◽  
Yuki Ishikawa ◽  
Naoshi Ogata ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Motion Analysis ◽  
Three Dimensional ◽  
Motion Analysis System ◽  
Motion Measurements ◽  
Analysis System

Three-Dimensional Spinal Motion Measurements. Part 2

1988 ◽  
Vol 1 (4) ◽  
pp. 284-286 ◽  
Author(s):  
David Buchalter ◽  
Neil Kahanovitz ◽  
Kathleen Viola ◽  
Steven Dorsky ◽  
Margareta Nordin
Keyword(s):  
Three Dimensional ◽  
Spinal Motion ◽  
Motion Measurements

Reducing two-dimensional rearfoot motion variability during walking

1993 ◽  
Vol 83 (7) ◽  
pp. 394-397 ◽  
Author(s):  
MW Cornwall ◽  
TG McPoil
Keyword(s):  
Dimensional Analysis ◽  
Clinical Setting ◽  
Three Dimensional ◽  
Movement Analysis ◽  
Two Dimensional ◽  
Motion Measurements ◽  
Time Required ◽  
Rearfoot Motion

Although three-dimensional movement analysis is the preferred method of assessing rearfoot motion during gait, the high cost of equipment and the time required to use it often make it unreasonable or impractical in a clinical setting. The authors discuss a method of minimizing the variability of rearfoot motion measurements during walking, using two-dimensional analysis when three-dimensional is not available to the clinician.

Three-Dimensional Tricuspid Annular Motion Analysis from Cardiac Magnetic Resonance Feature-Tracking

2016 ◽  
Vol 44 (12) ◽  
pp. 3522-3538 ◽  
Author(s):  
Shuang Leng ◽  
Meng Jiang ◽  
Xiao-Dan Zhao ◽  
John Carson Allen ◽  
Ghassan S. Kassab ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Motion Analysis ◽  
Feature Tracking ◽  
Three Dimensional
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