Abstract
Traditionally most camera-based position estimation systems use only a few points to calibrate cameras. In this paper, we investigate a novel and alternate approach for 3D position estimation by using a larger number of points arranged in a 3D grid. We present an implementation of the active-space indexing mechanism which uses three cameras. Given the corresponding points in camera images, a precise estimation of the position can be obtained. The active-space indexing method can be also used as a spatial filter to eliminate the large number of possible corresponding pairs from consideration. This capability, unique only to the active-space indexing method, provides a tractable algorithm to the otherwise intractable situation.
| Original language | English |
|---|---|
| Pages (from-to) | 135-150 |
| Number of pages | 16 |
| Journal | Graphical Models |
| Volume | 63 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2001 May |
| Externally published | Yes |
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Keywords
- 3D position estimation
- 3D spatial data structure
- Camera calibration for multiple camera images
- Computer vision techniques for 3D model building
- Geometric algorithms
- Virtual environments
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Geometry and Topology
- Modelling and Simulation
Cite this
Spatial filtering using the active-space indexing method. / Semwal, Sudhanshu K.; Ohya, Jun.
In: Graphical Models, Vol. 63, No. 3, 05.2001, p. 135-150.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Spatial filtering using the active-space indexing method
AU - Semwal, Sudhanshu K.
AU - Ohya, Jun
PY - 2001/5
Y1 - 2001/5
N2 - Traditionally most camera-based position estimation systems use only a few points to calibrate cameras. In this paper, we investigate a novel and alternate approach for 3D position estimation by using a larger number of points arranged in a 3D grid. We present an implementation of the active-space indexing mechanism which uses three cameras. Given the corresponding points in camera images, a precise estimation of the position can be obtained. The active-space indexing method can be also used as a spatial filter to eliminate the large number of possible corresponding pairs from consideration. This capability, unique only to the active-space indexing method, provides a tractable algorithm to the otherwise intractable situation.
AB - Traditionally most camera-based position estimation systems use only a few points to calibrate cameras. In this paper, we investigate a novel and alternate approach for 3D position estimation by using a larger number of points arranged in a 3D grid. We present an implementation of the active-space indexing mechanism which uses three cameras. Given the corresponding points in camera images, a precise estimation of the position can be obtained. The active-space indexing method can be also used as a spatial filter to eliminate the large number of possible corresponding pairs from consideration. This capability, unique only to the active-space indexing method, provides a tractable algorithm to the otherwise intractable situation.
KW - 3D position estimation
KW - 3D spatial data structure
KW - Camera calibration for multiple camera images
KW - Computer vision techniques for 3D model building
KW - Geometric algorithms
KW - Virtual environments
UR - http://www.scopus.com/inward/record.url?scp=0035343057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035343057&partnerID=8YFLogxK
U2 - 10.1006/gmod.2001.0540
DO - 10.1006/gmod.2001.0540
M3 - Article
AN - SCOPUS:0035343057
VL - 63
SP - 135
EP - 150
JO - Graphical Models
JF - Graphical Models
SN - 1524-0703
IS - 3
ER -