dc.contributor.advisor | Sheng, Weihua | |
dc.contributor.author | Mehta, Vimal | |
dc.date.accessioned | 2014-04-17T20:08:55Z | |
dc.date.available | 2014-04-17T20:08:55Z | |
dc.date.issued | 2008-07-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/10242 | |
dc.description.abstract | The thesis proposes algorithms to perform distributed calibration of a camera sensor network. Unlike other calibration techniques which involve non-linear computations, we propose simple techniques which can be implemented on low power processors. The concept of pin-hole camera model and generation of a reference coordinate system that are used in this thesis, were inspired from some existing work. A cooperative friendly target equipped with a dead reckoning position sensor, moves around in the environment and communicates its coordinate information at three distinct locations in the field of view of a camera sensor node. The sensor node uses the concept of slope angle of a straight line to solve for its location and orientation. This method does not require any initial guesses to calculate the external parameters of a camera. The correctness of the method was verified experimentally and its scalability for a large scale sensor network was validated through simulation. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
dc.title | Distributed Calibration of a Camera Sensor Network | |
dc.type | text | |
dc.contributor.committeeMember | Cheng, Qi | |
dc.contributor.committeeMember | Sohoni, Sohum | |
osu.filename | Mehta_okstate_0664M_2843.pdf | |
osu.college | Engineering, Architecture, and Technology | |
osu.accesstype | Open Access | |
dc.description.department | School of Electrical & Computer Engineering | |
dc.type.genre | Thesis | |