Computer Graphic Tools for Automotive Paint Engineering

2008 ◽  
pp. 273-282
Author(s):  
Gary W. Meyer
Keyword(s):  
Computer Graphic ◽  
Automotive Paint

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

SIMULATION OF ELECTROSTATIC ROTARY BELL SPRAY PAINTING IN AUTOMOTIVE PAINT SHOPS

2013 ◽  
Vol 23 (1) ◽  
pp. 25-45 ◽  
Author(s):  
A. Mark ◽  
Bjorn Andersson ◽  
S. Tafuri ◽  
K. Engstrom ◽  
H. Sorod ◽  
...  
Keyword(s):  
Spray Painting ◽  
Automotive Paint

BiDrac Industry 4.0 framework: Application to an Automotive Paint Shop Process

2021 ◽  
Vol 109 ◽  
pp. 104757
Author(s):  
Elma Sanz ◽  
Joaquim Blesa ◽  
Vicenç Puig
Keyword(s):  
Industry 4.0 ◽  
Paint Shop ◽  
Automotive Paint

Stone impact damage to automotive paint finishes—A statistical and neural net analysis of electrochemical impedance data

1993 ◽  
Vol 38 (14) ◽  
pp. 2083-2091 ◽  
Author(s):  
A.C. Ramamurthy ◽  
Wendy I. Lorenzen ◽  
Mirna Uriquidi-Macdonald
Keyword(s):  
Electrochemical Impedance ◽  
Impact Damage ◽  
Neural Net ◽  
Impedance Data ◽  
Automotive Paint

Evidential significance of automotive paint trace evidence using a pattern recognition based infrared library search engine for the Paint Data Query Forensic Database

Talanta ◽  
2016 ◽  
Vol 159 ◽  
pp. 317-329 ◽  
Author(s):  
Barry K. Lavine ◽  
Collin G. White ◽  
Matthew D. Allen ◽  
Ayuba Fasasi ◽  
Andrew Weakley
Keyword(s):  
Pattern Recognition ◽  
Search Engine ◽  
Trace Evidence ◽  
Library Search ◽  
Data Query ◽  
Automotive Paint
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