Details
| Original language | English |
|---|---|
| Title of host publication | Image Reconstruction from Incomplete Data VII |
| Number of pages | 7 |
| Publication status | Published - 15 Oct 2012 |
| Event | Image Reconstruction from Incomplete Data VII - San Diego, CA, United States Duration: 14 Aug 2012 → 15 Aug 2012 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 8500 |
| ISSN (Print) | 0277-786X |
Abstract
Inverse fringe projection can be seen as an improvement to the classical fringe projection method to significantly speed up the measurement of geometry defects of optical cooperative workpieces requiring no hardware changes to the classical setup. The CAD model of an ideal specimen is used in a virtual fringe projection system to generate a single sophisticated inverse fringe projection pattern which is, then, projected onto the surface of the real workpiece. Subsequently, 3D-geometry defects can be extracted directly and very quickly from a single image captured by the real camera using elaborate 2D-algorithms. This allows for verification of allowed geometry tolerances with a significantly reduced latency time.
Keywords
- 3d measurement, Defect detection, Free form surface, Fringe projection, Inverse fringe projection, Structured light
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- BibTeX
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Image Reconstruction from Incomplete Data VII. 2012. 85000B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8500).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Using inverse fringe projection to speed up the detection of local and global geometry defects on free-form surfaces
AU - Pösch, Andreas
AU - Vynnyk, Taras
AU - Reithmeier, Eduard
PY - 2012/10/15
Y1 - 2012/10/15
N2 - Inverse fringe projection can be seen as an improvement to the classical fringe projection method to significantly speed up the measurement of geometry defects of optical cooperative workpieces requiring no hardware changes to the classical setup. The CAD model of an ideal specimen is used in a virtual fringe projection system to generate a single sophisticated inverse fringe projection pattern which is, then, projected onto the surface of the real workpiece. Subsequently, 3D-geometry defects can be extracted directly and very quickly from a single image captured by the real camera using elaborate 2D-algorithms. This allows for verification of allowed geometry tolerances with a significantly reduced latency time.
AB - Inverse fringe projection can be seen as an improvement to the classical fringe projection method to significantly speed up the measurement of geometry defects of optical cooperative workpieces requiring no hardware changes to the classical setup. The CAD model of an ideal specimen is used in a virtual fringe projection system to generate a single sophisticated inverse fringe projection pattern which is, then, projected onto the surface of the real workpiece. Subsequently, 3D-geometry defects can be extracted directly and very quickly from a single image captured by the real camera using elaborate 2D-algorithms. This allows for verification of allowed geometry tolerances with a significantly reduced latency time.
KW - 3d measurement
KW - Defect detection
KW - Free form surface
KW - Fringe projection
KW - Inverse fringe projection
KW - Structured light
UR - http://www.scopus.com/inward/record.url?scp=84872576691&partnerID=8YFLogxK
U2 - 10.1117/12.928700
DO - 10.1117/12.928700
M3 - Conference contribution
AN - SCOPUS:84872576691
SN - 9780819492173
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Image Reconstruction from Incomplete Data VII
T2 - Image Reconstruction from Incomplete Data VII
Y2 - 14 August 2012 through 15 August 2012
ER -