Abstract
This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods are basic and important problems in augmented reality. However, many tracking solutions are dependent on fiducial markers in video or known coordinate systems which are required to superimpose virtual, objects on frames. In this paper, we begin with the fact that the rectangular objects in 3D real world are projected the perspective quadrangle onto image plane through camera. We can estimate 3D object coordinates from 4 vertices of quadrangle through transformations of image coordinates. Also, the markerless tracking method of 4 vertices is presented and the camera motion parameters between successive frames are calculated using epipolar geometry.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Pages | 897-900 |
| Number of pages | 4 |
| Volume | 3 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | 18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China Duration: 2006 Aug 20 → 2006 Aug 24 |
Other
| Other | 18th International Conference on Pattern Recognition, ICPR 2006 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 06/8/20 → 06/8/24 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Superimposing 3D virtual objects using markerless tracking. / Park, Sang Cheol; Lee, Sang Woong; Lee, Seong Whan.
Proceedings - International Conference on Pattern Recognition. Vol. 3 2006. p. 897-900 1699670.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Superimposing 3D virtual objects using markerless tracking
AU - Park, Sang Cheol
AU - Lee, Sang Woong
AU - Lee, Seong Whan
PY - 2006/12/1
Y1 - 2006/12/1
N2 - This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods are basic and important problems in augmented reality. However, many tracking solutions are dependent on fiducial markers in video or known coordinate systems which are required to superimpose virtual, objects on frames. In this paper, we begin with the fact that the rectangular objects in 3D real world are projected the perspective quadrangle onto image plane through camera. We can estimate 3D object coordinates from 4 vertices of quadrangle through transformations of image coordinates. Also, the markerless tracking method of 4 vertices is presented and the camera motion parameters between successive frames are calculated using epipolar geometry.
AB - This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods are basic and important problems in augmented reality. However, many tracking solutions are dependent on fiducial markers in video or known coordinate systems which are required to superimpose virtual, objects on frames. In this paper, we begin with the fact that the rectangular objects in 3D real world are projected the perspective quadrangle onto image plane through camera. We can estimate 3D object coordinates from 4 vertices of quadrangle through transformations of image coordinates. Also, the markerless tracking method of 4 vertices is presented and the camera motion parameters between successive frames are calculated using epipolar geometry.
UR - http://www.scopus.com/inward/record.url?scp=34147164993&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34147164993&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2006.1093
DO - 10.1109/ICPR.2006.1093
M3 - Conference contribution
SN - 0769525210
SN - 9780769525211
VL - 3
SP - 897
EP - 900
BT - Proceedings - International Conference on Pattern Recognition
ER -