高忠国,张 洪,王露露,曹 毅.一种基于智能优化的摄像机标定方法研究[J].包装工程,2011,32(21):82-84.
GAO Zhong-guo,ZHANG Hong,WANG Lu-lu,CAO Yi.Research of Camera Calibration Method Based on Intelligent Optimization[J].Packaging Engineering,2011,32(21):82-84. |
| 一种基于智能优化的摄像机标定方法研究 |
| Research of Camera Calibration Method Based on Intelligent Optimization |
| 投稿时间：2011-07-07 修订日期：2011-11-10 |
| DOI： |
| 中文关键词: 摄像机标定 量子粒子群优化算法 非线性相机模型 |
| 英文关键词: camera calibration QPSO nonlinear camera model |
| 基金项目:国家自然科学青年基金（50905075） |
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| 中文摘要: |
| 针对现有包装设备上对摄像机标定中传统优化算法存在的缺点，如对初始值敏感、收敛性差、易陷入局部最优解等，研究了量子粒子群优化算法在摄像机标定中的应用，提出了一种基于智能优化的摄像机标定方法，并给出了具体的步骤。实验结果表明该标定方法可以克服传统算法的不足，具有较高的精度，可以满足计算机视觉在包装工程中的应用。 |
| 英文摘要: |
| The application of an improved quantum particle swarm optimization algorithm（QPSO）in camera calibration was studied to overcome the drawbacks of traditional optimization algorithms in camera calibration, such as sensitive to original value, poor astringency, and easy to relapse into local optimization. A camera calibration method based on intelligent optimization algorithm was put forward and the calculation procedures were given. Calibration experiments results showed that the method can overcome the drawbacks of traditional optimization algorithms, has higher precision, and meet the application requirements of computer vision in packaging engineering. |
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