Date of Award
2010
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Artificial Intelligence.
Supervisor
Boufama, Boubakeur (School of Computer Science)
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
This thesis addresses the relationship between camera configuration and 3D Euclidean reconstruction. Simulations have been conducted and have shown that when error is present, the larger rotation angle, the worse the reconstruction quality. When rotation is avoided, errors in the intrinsic parameters do not affect the 3D reconstruction in a significant way. Therefore, it is suggested to minimize or avoid rotation when constructing a stereo vision system. Once this configuration is applied, inaccurate intrinsic parameters, even without the prior information of intrinsic parameters, can also yield good reconstruction quality. The configuration of pure translation also provides a framework, which can be used to compute elements of intrinsic parameters with an additional geometry constraint. The perpendicular constraint is selected as an example. Focal length can be recovered from this constraint by assuming the principal point is the centre of the image.
Recommended Citation
Wang, Zhuo, "3D Reconstruction Using a Stereo Vision System with Simplified Inter-Camera Geometry" (2010). Electronic Theses and Dissertations. 345.
https://scholar.uwindsor.ca/etd/345