Abstract
This paper surveys zoom-lens calibration approaches, such as pattern-based calibration, self-calibration, and hybrid (or semiautomatic) calibration. We describe the characteristics and applications of various calibration methods employed in zoom-lens calibration and offer a novel classification model for zoom-lens calibration approaches in both single and stereo cameras. We elaborate on these calibration techniques to discuss their common characteristics and attributes. Finally, we present a comparative analysis of zoom-lens calibration approaches, highlighting the advantages and disadvantages of each approach. Furthermore, we compare the linear and nonlinear camera models proposed for zoom-lens calibration and enlist the different techniques used to model the camera’s parameters for zoom (or focus) settings.
| Original language | English |
|---|---|
| Pages (from-to) | 803-818 |
| Number of pages | 16 |
| Journal | Machine Vision and Applications |
| Volume | 28 |
| Issue number | 8 |
| DOIs | |
| State | Published - 1 Nov 2017 |
Keywords
- Active vision
- Camera calibration
- Self-calibration
- Zoom lens
- Zoom-dependent calibration
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