Abstract | ||
---|---|---|
Calibration in a multi camera network has widely been studied for over
several years starting from the earlier days of photogrammetry. Many authors
have presented several calibration algorithms with their relative advantages
and disadvantages. In a stereovision system, multiple view reconstruction is a
challenging task. However, the total computational procedure in detail has not
been presented before. Here in this work, we are dealing with the problem that,
when a world coordinate point is fixed in space, image coordinates of that 3D
point vary for different camera positions and orientations. In computer vision
aspect, this situation is undesirable. That is, the system has to be designed
in such a way that image coordinate of the world coordinate point will be fixed
irrespective of the position & orientation of the cameras. We have done it in
an elegant fashion. Firstly, camera parameters are calculated in its local
coordinate system. Then, we use global coordinate data to transfer all local
coordinate data of stereo cameras into same global coordinate system, so that
we can register everything into this global coordinate system. After all the
transformations, when the image coordinate of the world coordinate point is
calculated, it gives same coordinate value for all camera positions &
orientations. That is, the whole system is calibrated. |
Year | Venue | Keywords |
---|---|---|
2010 | Clinical Orthopaedics and Related Research | pattern recognition,computer vision,singular value decomposition,coordinate system |
Field | DocType | Volume |
Coordinate system,Singular value decomposition,Photogrammetry,Stereo cameras,Computer vision,Computer science,Affine coordinate system,Coordinate space,Artificial intelligence,Coordinate descent,Calibration | Journal | abs/1011.0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ayan Chaudhury | 1 | 11 | 1.34 |
Abhishek Gupta | 2 | 14 | 10.61 |
Sumita Manna | 3 | 0 | 0.34 |
Subhadeep Mukherjee | 4 | 0 | 0.34 |
Amlan Chakrabarti | 5 | 161 | 48.06 |