Abstract
In this paper, we propose a novel method to estimate the relative camera motions of three consecutive images. Given a set of point correspondences in three views, the proposed method determines the fundamental matrix representing the geometrical relationship between the first two views by using the eight-point algorithm. Then, by minimizing the proposed cost function with the fundamental matrix, the relative camera motions over three views are precisely estimated. The experimental results show that the proposed method outperforms the conventional two-view and three-view geometry-based method in terms of the accuracy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 215-216 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538668573 |
| DOIs | |
| Publication status | Published - 2019 Jan 4 |
| Event | 20th IEEE International Symposium on Multimedia, ISM 2018 - Taichung, Taiwan, Province of China Duration: 2018 Dec 10 → 2018 Dec 12 |
Publication series
| Name | Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018 |
|---|
Conference
| Conference | 20th IEEE International Symposium on Multimedia, ISM 2018 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taichung |
| Period | 18/12/10 → 18/12/12 |
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Keywords
- Eight-point algorithm
- Trifocal tensor
- Visual odometry
ASJC Scopus subject areas
- Signal Processing
- Media Technology
Cite this
A novel relative camera motion estimation algorithm with applications to visual odometry. / Jiang, Yue; Kang, Mun Cheon; Fan, Ming; Chae, Sung Ho; Ko, Sung-Jea.
Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 215-216 8603292 (Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A novel relative camera motion estimation algorithm with applications to visual odometry
AU - Jiang, Yue
AU - Kang, Mun Cheon
AU - Fan, Ming
AU - Chae, Sung Ho
AU - Ko, Sung-Jea
PY - 2019/1/4
Y1 - 2019/1/4
N2 - In this paper, we propose a novel method to estimate the relative camera motions of three consecutive images. Given a set of point correspondences in three views, the proposed method determines the fundamental matrix representing the geometrical relationship between the first two views by using the eight-point algorithm. Then, by minimizing the proposed cost function with the fundamental matrix, the relative camera motions over three views are precisely estimated. The experimental results show that the proposed method outperforms the conventional two-view and three-view geometry-based method in terms of the accuracy.
AB - In this paper, we propose a novel method to estimate the relative camera motions of three consecutive images. Given a set of point correspondences in three views, the proposed method determines the fundamental matrix representing the geometrical relationship between the first two views by using the eight-point algorithm. Then, by minimizing the proposed cost function with the fundamental matrix, the relative camera motions over three views are precisely estimated. The experimental results show that the proposed method outperforms the conventional two-view and three-view geometry-based method in terms of the accuracy.
KW - Eight-point algorithm
KW - Trifocal tensor
KW - Visual odometry
UR - http://www.scopus.com/inward/record.url?scp=85061652397&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061652397&partnerID=8YFLogxK
U2 - 10.1109/ISM.2018.000-4
DO - 10.1109/ISM.2018.000-4
M3 - Conference contribution
AN - SCOPUS:85061652397
T3 - Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018
SP - 215
EP - 216
BT - Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -