New calibration method of plenoptic camera using CCD camera model
| Autor: | Song-Ran Kim, Min-Chang Jeong, Hyun-Soo Kang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Microlens
Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Astrophysics::Instrumentation and Methods for Astrophysics 020207 software engineering 02 engineering and technology law.invention Lens (optics) law Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Calibration 020201 artificial intelligence & image processing Computer vision Point (geometry) Artificial intelligence Image sensor business |
| Zdroj: | ICCE |
| DOI: | 10.1109/icce.2018.8326331 |
| Popis: | This paper presents a convenient method to estimate the internal parameters of a plenoptic camera by applying a CCD camera calibration method and some formulas to be analytically derived. A microlens based plenoptic camera is effectively same as a virtual camera array placed in regular intervals. For calibration, we employ a homogeneous intrinsic matrix based on the plenoptic camera model. Using various check board patterns, as in a CCD camera calibration, the disparities of pixels, the center positions of the virtual cameras, the baseline between the virtual cameras, and the distance to a point in the scene are extracted in the sub-aperture image domains. We formulate four equations for calibration of the plenoptic camera and then performs a nonlinear optimization technique to find a solution to these equations. To evaluate the estimation performance, we generate an artificial plenoptic image whose internal parameters are definite. Then estimation results are compared with the true parameters. In addition, the reprojection error by the estimated parameters is demonstrated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|