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
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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 -