Abstract
3D scenes reconstruction with omni-directional camera is of utmost significance as the camera can capture the 360 degrees scene. It dramatically improves the performance of Structure from Motion (SfM) since the tracked interest points will not miss with a long base-line and sharp rotation. This paper proposes a system with preprocessing and modification based on conventional SfM pipeline for equirectangular images produced by omni-directional camera. The results show that proposed system can well estimate the accurate ego-motion and sparse 3D structure of a synthetic scene as well as a real-world scene by solving the problem of distortion and lower quality at certain area of the equirectangular images.
| Original language | English |
|---|---|
| Title of host publication | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538626153 |
| DOIs | |
| Publication status | Published - 2018 May 30 |
| Event | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand Duration: 2018 Jan 7 → 2018 Jan 9 |
Other
| Other | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 |
|---|---|
| Country | Thailand |
| City | Chiang Mai |
| Period | 18/1/7 → 18/1/9 |
Fingerprint
Keywords
- 3D structure
- ego-motion
- Omni-directional camera
- structure from motion
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Media Technology
Cite this
Robust 3D reconstruction with omni-directional camera based on structure from motion. / Song, Mengcheng; Watanabe, Hiroshi; Hara, Junich.
2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Robust 3D reconstruction with omni-directional camera based on structure from motion
AU - Song, Mengcheng
AU - Watanabe, Hiroshi
AU - Hara, Junich
PY - 2018/5/30
Y1 - 2018/5/30
N2 - 3D scenes reconstruction with omni-directional camera is of utmost significance as the camera can capture the 360 degrees scene. It dramatically improves the performance of Structure from Motion (SfM) since the tracked interest points will not miss with a long base-line and sharp rotation. This paper proposes a system with preprocessing and modification based on conventional SfM pipeline for equirectangular images produced by omni-directional camera. The results show that proposed system can well estimate the accurate ego-motion and sparse 3D structure of a synthetic scene as well as a real-world scene by solving the problem of distortion and lower quality at certain area of the equirectangular images.
AB - 3D scenes reconstruction with omni-directional camera is of utmost significance as the camera can capture the 360 degrees scene. It dramatically improves the performance of Structure from Motion (SfM) since the tracked interest points will not miss with a long base-line and sharp rotation. This paper proposes a system with preprocessing and modification based on conventional SfM pipeline for equirectangular images produced by omni-directional camera. The results show that proposed system can well estimate the accurate ego-motion and sparse 3D structure of a synthetic scene as well as a real-world scene by solving the problem of distortion and lower quality at certain area of the equirectangular images.
KW - 3D structure
KW - ego-motion
KW - Omni-directional camera
KW - structure from motion
UR - http://www.scopus.com/inward/record.url?scp=85048827140&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048827140&partnerID=8YFLogxK
U2 - 10.1109/IWAIT.2018.8369715
DO - 10.1109/IWAIT.2018.8369715
M3 - Conference contribution
SP - 1
EP - 4
BT - 2018 International Workshop on Advanced Image Technology, IWAIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -