SU-FF-J-133: Commissioning a New Frameless Intracranial Stereotactic Positioning System (ISPS): The Real-Time 3D Stereo-Vision Surface Imaging System

2009 ◽  
Vol 36 (6Part7) ◽  
pp. 2507-2507
Author(s):  
L Peng ◽  
C Liu ◽  
D Kahler ◽  
S Samant ◽  
J Li ◽  
...  
2017 ◽  
Vol T170 ◽  
pp. 014027 ◽  
Author(s):  
A Huber ◽  
D Kinna ◽  
V Huber ◽  
G Arnoux ◽  
I Balboa ◽  
...  

2012 ◽  
Vol 621 ◽  
pp. 348-351
Author(s):  
Bing Zhang ◽  
Li Li Xing ◽  
Dan Qi Chen ◽  
Li Xie ◽  
Yue Li ◽  
...  

An embedded positioning system, which can be applied to seismic exploration, is designed. Meeting the characteristics of field work and the instantaneity of data transmission, the system is composed by the positioning terminals and supplemented by earthquake decision-making experts and monitoring center. With the style of mobile phone message and monitoring center, the real-time transmission and query of positioning data are mobile.


2005 ◽  
Vol 10 (2) ◽  
pp. 163-168 ◽  
Author(s):  
Jinjun Guo ◽  
Liang Xu ◽  
Lianjun Dai ◽  
Mike McDonald ◽  
Jianping Wu ◽  
...  

Author(s):  
Chao-Ching Ho

A stereo-vision-based fire detection and suppression robot with an intelligent processing algorithm for use in large spaces is proposed in this chapter. The successive processing steps of our real-time algorithm use the motion segmentation algorithm to register the possible position of a fire flame in a video; the real-time algorithm then analyzes the spectral, spatial, and motion orientation characteristics of the fire flame regions from the image sequences of the video. The characterization of a fire flame was carried out by using a heuristic method to determine the potential fire flame candidate region. The fire-fighting robot uses stereo vision generated by means of two calibrated cameras to acquire images of the fire flame and applies the continuously adaptive mean shift (CAMSHIFT) vision-tracking algorithm to provide feedback on the real-time position of the fire flame with a high frame rate. Experimental results showed that the stereo-vision-based mobile robot was able to successfully complete a fire-extinguishing task.


2017 ◽  
Vol 12 (12) ◽  
pp. C12058-C12058 ◽  
Author(s):  
W.A.J. Vijvers ◽  
R.T. Mumgaard ◽  
Y. Andrebe ◽  
I.G.J. Classen ◽  
B.P. Duval ◽  
...  

2012 ◽  
Vol 103 ◽  
pp. S133
Author(s):  
J. Peng ◽  
K. Vanek ◽  
N. Koch ◽  
M. Ashenafi ◽  
D. McDonald ◽  
...  

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