Camera calibration based on two-cylinder target
| Autor: | Xiaoqi Cheng, Junhua Sun, Qiaoyun Fan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Machine vision
Computer science business.industry Distortion (optics) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Atomic and Molecular Physics and Optics 010309 optics Optics Motion estimation 0103 physical sciences Cylinder Computer vision Artificial intelligence 0210 nano-technology business Image resolution Camera resectioning |
| Zdroj: | Optics express. 27(20) |
| ISSN: | 1094-4087 |
| Popis: | A large-size 2D target cannot be used for calibration in the application scenarios with confined spaces, neither can traditional 1D target because the need of constrained motion. To solve this problem, a camera calibration method based on two-cylinder (TC) target is proposed. The TC target is placed in the Field of View (FOV) arbitrarily and images of the target are acquired from multiple views, then the camera can be calibrated by establishing the perspective projection relationship between the TC target and its projective contours in each view. The experiments with both synthetic and real data show that the proposed method has better anti-noise ability and higher accuracy compared with small-size 2D target. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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