Abstract
Theoretical models are derived to analyze the accuracy of N-Ocular vision systems for scene reconstruction, motion estimation and self positioning. Covariance matrices are given to estimate the uncertainty bounds for the reconstructed points in 3-D space, motion parameters, and 3-D position of the vision system. Simulation results of various experiments, based on synthetic and real data acquired with a 12-camera stereo panoramic imaging system, are given to demonstrate the application of these models, as well as to evaluate the performance of the panoramic system for high-precision 3-D mapping and positioning.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 |
| Editors | Y. Aloimonos, G. Taubin |
| Pages | 888-895 |
| Number of pages | 8 |
| DOIs | |
| State | Published - Dec 1 2004 |
| Event | Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 - Thessaloniki, Greece Duration: Sep 6 2004 → Sep 9 2004 |
Other
| Other | Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 |
|---|---|
| Country | Greece |
| City | Thessaloniki |
| Period | 9/6/04 → 9/9/04 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Theoretical accuracy analysis of N-Ocular vision systems for scene reconstruction, motion estimation, and positioning. / Firoozfam, Pezhman; Negahdaripour, Shahriar.
Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. ed. / Y. Aloimonos; G. Taubin. 2004. p. 888-895.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Theoretical accuracy analysis of N-Ocular vision systems for scene reconstruction, motion estimation, and positioning
AU - Firoozfam, Pezhman
AU - Negahdaripour, Shahriar
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Theoretical models are derived to analyze the accuracy of N-Ocular vision systems for scene reconstruction, motion estimation and self positioning. Covariance matrices are given to estimate the uncertainty bounds for the reconstructed points in 3-D space, motion parameters, and 3-D position of the vision system. Simulation results of various experiments, based on synthetic and real data acquired with a 12-camera stereo panoramic imaging system, are given to demonstrate the application of these models, as well as to evaluate the performance of the panoramic system for high-precision 3-D mapping and positioning.
AB - Theoretical models are derived to analyze the accuracy of N-Ocular vision systems for scene reconstruction, motion estimation and self positioning. Covariance matrices are given to estimate the uncertainty bounds for the reconstructed points in 3-D space, motion parameters, and 3-D position of the vision system. Simulation results of various experiments, based on synthetic and real data acquired with a 12-camera stereo panoramic imaging system, are given to demonstrate the application of these models, as well as to evaluate the performance of the panoramic system for high-precision 3-D mapping and positioning.
UR - http://www.scopus.com/inward/record.url?scp=16244417213&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=16244417213&partnerID=8YFLogxK
U2 - 10.1109/TDPVT.2004.1335409
DO - 10.1109/TDPVT.2004.1335409
M3 - Conference contribution
AN - SCOPUS:16244417213
SN - 0769522238
SN - 9780769522234
SP - 888
EP - 895
BT - Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
A2 - Aloimonos, Y.
A2 - Taubin, G.
ER -