| 集成成像大纵深物体的三维形貌获取技术 |
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| 引用本文： | 张雷,焦小雪,孙羽,刘少鹏,谢艳,赵星.集成成像大纵深物体的三维形貌获取技术[J].应用光学,2017,38(4):587-591. |
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| 作者姓名： | 张雷 焦小雪 孙羽 刘少鹏 谢艳 赵星 |
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| 作者单位： | 1.河北工程大学 数理科学与工程学院，河北 邯郸 056038 |
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| 基金项目： | 国家自然科学基金11474169河北省自然科学基金F2015402156河北省自然科学基金F2014402094 |
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| 摘 要： | 为了满足现代工业所需的大纵深物体的三维形貌获取需求，解决传统结构光三维形貌获取技术纵深较小的问题, 借助集成成像这种阵列式多视点获取技术，构建了基于集成成像的大纵深物体的三维形貌获取技术。从集成成像原理出发，分析了集成成像三维物点和同名像点之间的关系，得到集成成像光学获取系统参数和三维物体纵深极限之间的关系。在此基础上，利用相机和电动平移台构建了扫描式相机集成成像三维形貌获取系统，并对纵深从600 mm到3 600 mm相对独立的2个物体构建的大纵深三维物体进行了形貌获取。光学实验结果显示，该集成成像大纵深物体三维形貌获取技术能够单次获取纵深为3 600 mm的三维物体的三维形貌，为大纵深物体的三维形貌获取提供了技术支持。
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| 关 键 词： | 光学工程 集成成像 三维形貌 大纵深 |
| 收稿时间： | 2016-12-05 |
3D shape acquisition technology of object with largedepth based on integral imaging |
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| Affiliation: | 1.School of Science, Hebei University of Engineering, Handan 056038, China2.Key Laboratory ofOptical Information Science and Technology(Ministry of Education), Institute of Modern Optics, Nankai University, Tianjin 300071, China |
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| Abstract: | In order to meet the demand for 3D shape acquisition of large-depth objects in modern industry and solve the problem of small depth in conventional structured light 3D shape measurement, a new 3D shape acquisition technology of object with large depth based on integral imaging is proposed by the array multi-viewpoint acquisition technique. According to integral imaging principle, the relationship between corresponding image points and object points is analyzed, then relationships between max depth and integrated imaging optical acquisition system parameters are obtained. On this basis, an integral imaging 3D shape acquisition system is built with scanning cameras and motorized platform. Furthermore, 3D shapes of large-depth object, constituted by 2 objects relatively independent with depth of 600 mm to 3 600 mm, are captured by the proposed system.Optical experiment results show that this proposed integral imaging large-depth-object 3D shape acquisition technology can capture 3D shape of 3D object with depth up to 3 600 mm at one time, which can offer technical support for 3D shape acquisition of objects with large depth. |
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