Computer-controlled, Thirty-channel Data Acquisition System for Three-dimensional Acceleration Measurement

1996 ◽  
Vol 12 (3) ◽  
pp. 387-394
Author(s):  
D. Jiang ◽  
J. Chaplin ◽  
J. Zhang
Keyword(s):  
Data Acquisition ◽  
Three Dimensional ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Acceleration Measurement ◽  
Computer Controlled

scholarly journals RECONSTRUCTION OF INDOOR MODELS USING POINT CLOUDS GENERATED FROM SINGLE-LENS REFLEX CAMERAS AND DEPTH IMAGES

2015 ◽  
Vol XL-4/W5 ◽  
pp. 99-102
Author(s):  
F. Tsai ◽  
T.-S. Wu ◽  
I.-C. Lee ◽  
H. Chang ◽  
A. Y. S. Su
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Three Dimensional ◽  
Point Clouds ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Indoor Environments ◽  
Single Lens ◽  
Processing Procedure ◽  
Data Processing Procedure

This paper presents a data acquisition system consisting of multiple RGB-D sensors and digital single-lens reflex (DSLR) cameras. A systematic data processing procedure for integrating these two kinds of devices to generate three-dimensional point clouds of indoor environments is also developed and described. In the developed system, DSLR cameras are used to bridge the Kinects and provide a more accurate ray intersection condition, which takes advantage of the higher resolution and image quality of the DSLR cameras. Structure from Motion (SFM) reconstruction is used to link and merge multiple Kinect point clouds and dense point clouds (from DSLR color images) to generate initial integrated point clouds. Then, bundle adjustment is used to resolve the exterior orientation (EO) of all images. Those exterior orientations are used as the initial values to combine these point clouds at each frame into the same coordinate system using Helmert (seven-parameter) transformation. Experimental results demonstrate that the design of the data acquisition system and the data processing procedure can generate dense and fully colored point clouds of indoor environments successfully even in featureless areas. The accuracy of the generated point clouds were evaluated by comparing the widths and heights of identified objects as well as coordinates of pre-set independent check points against in situ measurements. Based on the generated point clouds, complete and accurate three-dimensional models of indoor environments can be constructed effectively.

scholarly journals Three-dimensional fluence rate measurement and data acquisition system for minimally invasive light therapies

2009 ◽  
Vol 80 (4) ◽  
pp. 043104
Author(s):  
Benjamin Lai ◽  
Maxim Loshchenov ◽  
Alexander Douplik ◽  
Rob Rusnov ◽  
Marcos Jimenez-Davila ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Data Acquisition ◽  
Three Dimensional ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Fluence Rate ◽  
Rate Measurement
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