Automatic Camera Calibration Using Flat Panel Displays
| Autor: | Lu, Mu-Tien, 呂木天 |
|---|---|
| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 Camera plays an important role in many research fields, e.g., multimedia, robotics, and computer vision, because of its capability of representing a 3D scene with a 2D image. Thus, camera calibration is the most fundamental and important research topic in these fields. Typically, images of a planar are used to represent various relationships between world coordinate system and camera coordinate system in modern camera calibration procedure. There are three steps in a 3-step modern camera calibration procedure: Step 1: Put a planar pattern in front of the camera. Step 2: Take a few pictures on the planar pattern at different orientations. Step 3: Estimate all parameters simultaneously. The above procedure has two main issues. First, manually adjusting orientation of the planar pattern in Step 2 may cause a bias in calibration results. Second, the associated algebraic manipulation estimates intrinsic parameters and extrinsic ones simultaneously in Step 3, although the former is independent of the latter. Therefore, in this thesis, a series of novel and automatically camera calibration methods using flat panel displays are proposed to overcome aforementioned issues. Advantages of our methods include: (I) Our methods are fully automatic without human intervention. These methods are suitable for both manufactories and public. No prerequisites or pre-training are required. (II) Our methods are capable of directly estimating a specific set of parameters of the camera to avoid consistency issue. Experimental results show our methods outperform the classic methods in terms of robustness and accuracy. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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