Details
| Original language | English |
|---|---|
| Title of host publication | Pattern Recognition |
| Subtitle of host publication | 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013, Proceedings |
| Editors | Joachim Wickert, Matthias Hein, Bernt Schiele |
| Place of Publication | Berlin, Heidelberg |
| Pages | 31-40 |
| Number of pages | 10 |
| Edition | 1. |
| ISBN (electronic) | 978-3-642-40602-7 |
| Publication status | Published - 2013 |
| Event | 35th German Conference on Pattern Recognition, GCPR 2013 - Saarbrücken, Germany Duration: 3 Sept 2013 → 6 Sept 2013 |
Publication series
| Name | Lecture Notes in Computer Science (LNCS) |
|---|---|
| Publisher | Springer Verlag |
| Volume | 8142 |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
| Name | Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP) |
|---|---|
| ISSN (Print) | 3004-9946 |
| ISSN (electronic) | 3004-9954 |
Abstract
Stereo-camera systems enjoy wide popularity since they provide more restrictive constraints for 3d-reconstruction. Given an image sequence taken by parallel stereo cameras, a low-rank constraint is derived on the measurement data. Correspondences between left and right images are not necessary yet reduce the number of optimization parameters. Conversely, traditional algorithms for stereo factorization require all feature points in both images to be matched, otherwise left and right image streams need be factorized independently. The performance of the proposed algorithm will be evaluated on synthetic data as well as two real image applications.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013, Proceedings. ed. / Joachim Wickert; Matthias Hein; Bernt Schiele. 1. ed. Berlin, Heidelberg, 2013. p. 31-40 ( Lecture Notes in Computer Science (LNCS); Vol. 8142), ( Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A low-rank constraint for parallel stereo cameras
AU - Cordes, Christian
AU - Ackermann, Hanno
AU - Rosenhahn, Bodo
PY - 2013
Y1 - 2013
N2 - Stereo-camera systems enjoy wide popularity since they provide more restrictive constraints for 3d-reconstruction. Given an image sequence taken by parallel stereo cameras, a low-rank constraint is derived on the measurement data. Correspondences between left and right images are not necessary yet reduce the number of optimization parameters. Conversely, traditional algorithms for stereo factorization require all feature points in both images to be matched, otherwise left and right image streams need be factorized independently. The performance of the proposed algorithm will be evaluated on synthetic data as well as two real image applications.
AB - Stereo-camera systems enjoy wide popularity since they provide more restrictive constraints for 3d-reconstruction. Given an image sequence taken by parallel stereo cameras, a low-rank constraint is derived on the measurement data. Correspondences between left and right images are not necessary yet reduce the number of optimization parameters. Conversely, traditional algorithms for stereo factorization require all feature points in both images to be matched, otherwise left and right image streams need be factorized independently. The performance of the proposed algorithm will be evaluated on synthetic data as well as two real image applications.
UR - http://www.scopus.com/inward/record.url?scp=84886427279&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40602-7_4
DO - 10.1007/978-3-642-40602-7_4
M3 - Conference contribution
AN - SCOPUS:84886427279
SN - 978-3-642-40601-0
T3 - Lecture Notes in Computer Science (LNCS)
SP - 31
EP - 40
BT - Pattern Recognition
A2 - Wickert, Joachim
A2 - Hein, Matthias
A2 - Schiele, Bernt
CY - Berlin, Heidelberg
T2 - 35th German Conference on Pattern Recognition, GCPR 2013
Y2 - 3 September 2013 through 6 September 2013
ER -