Details
Original language | English |
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Title of host publication | Advances in Image and Video Technology |
Subtitle of host publication | First Pacific Rim Symposium, PSIVT 2006, Proceedings |
Pages | 74-83 |
Number of pages | 10 |
Publication status | Published - 2006 |
Externally published | Yes |
Event | 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 - Hsinchu, Taiwan Duration: 10 Dec 2006 → 13 Dec 2006 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4319 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Abstract
This paper is about real-time refinement of the 3D positions of a large number of stationary point-targets from a sequence of 2D images which are taken by a hand-held, calibrated camera group. To cope with the large data quantity arriving rapidly, an efficient iterative algorithm was developed. The problem and solution are expressed entirely within the computational framework of conformal geometric algebra. The iterative solution requires a pose estimation step of which two strategies are investigated. Experiments are performed to evaluate the algorithm based on synthetic and real data.
Keywords
- Conformal geometric algebra, Pose estimation
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Advances in Image and Video Technology: First Pacific Rim Symposium, PSIVT 2006, Proceedings. 2006. p. 74-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4319 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Target calibration and tracking using conformal geometric algebra
AU - Zhao, Yilan
AU - Valkenburg, Robert
AU - Klette, Reinhard
AU - Rosenhahn, Bodo
PY - 2006
Y1 - 2006
N2 - This paper is about real-time refinement of the 3D positions of a large number of stationary point-targets from a sequence of 2D images which are taken by a hand-held, calibrated camera group. To cope with the large data quantity arriving rapidly, an efficient iterative algorithm was developed. The problem and solution are expressed entirely within the computational framework of conformal geometric algebra. The iterative solution requires a pose estimation step of which two strategies are investigated. Experiments are performed to evaluate the algorithm based on synthetic and real data.
AB - This paper is about real-time refinement of the 3D positions of a large number of stationary point-targets from a sequence of 2D images which are taken by a hand-held, calibrated camera group. To cope with the large data quantity arriving rapidly, an efficient iterative algorithm was developed. The problem and solution are expressed entirely within the computational framework of conformal geometric algebra. The iterative solution requires a pose estimation step of which two strategies are investigated. Experiments are performed to evaluate the algorithm based on synthetic and real data.
KW - Conformal geometric algebra
KW - Pose estimation
UR - http://www.scopus.com/inward/record.url?scp=70350284594&partnerID=8YFLogxK
U2 - 10.1007/11949534_8
DO - 10.1007/11949534_8
M3 - Conference contribution
AN - SCOPUS:70350284594
SN - 354068297X
SN - 9783540682974
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 74
EP - 83
BT - Advances in Image and Video Technology
T2 - 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
Y2 - 10 December 2006 through 13 December 2006
ER -