深海原位激光扫描双目立体视觉成像系统*
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中图分类号TH74TP39 文献标识码A国家标准学科分类代码: 5206040

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*基金项目:基金项目国家重点研发计划课题(2016YFC0302401)、国家自然科学基金(61673252)项目资助


Deep sea insitu binocular stereo vision imaging system with laser scanning
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    摘要:

    摘要:摘要为满足深海物体原位三维测量需要,提出一种激光扫描双目立体视觉成像方法。该方法基于双目立体视觉原理,采用四维光场光线表示法,建立水下双目立体成像系统的测量模型;采用激光线扫描光条作为像素匹配线索,及基于共面约束的像素匹配算法,提高水下左、右两个相机图像像素匹配精度。通过耐高压结构设计、电气和软件设计,建立起相应的工程样机。静水压力试验表明,该工程样机能够适应4 000 m深海静水压力;实验室精度试验,采用标准球棒为测量对象,在距离样机3m处,多次扫描三维重建后,得到两靶球球心距测量结果的标准差为228 mm;南海真实海域实测试验,表明样机具有深海原位三维测量重建功能,且在距离样机2 m处,对标准球棒两球心距测量结果的标准差为222 mm。上述研究和试验表明,研制的激光扫描双目立体视觉成像系统,具备深海原位测量功能,具有较高三维测量精度。

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    Abstract:To achieve the 3D measurement of deep sea insitu objects, a laser scanning binocular stereo vision imaging method is proposed. Based on the principle of binocular stereo vision, an underwater binocular stereo imaging measurement model is formulatedin the form of a fourdimensional light fieldrepresentation. Thelaser line scanning light bar is used as thepixelmatchingclue. Thepixelmatchingalgorithmimprovestheaccuracybetweentwocameras,whichisbasedoncoplanarconstraints.Through the design of highpressureresistantstructural, electrical and software, the corresponding engineering prototype is developed. Hydrostatic pressure experiments show that the prototype can adapt to the pressure in a depth of 4 000 meters in deep sea. In the laboratory precision experiment, a standard bat is 3 meters away from the prototype to evaluate the measurement accuracy. After multiple scans and 3D reconstructions, the standard deviation of the center distance between two balls is 228 mm. The South China Sea actual experiments show that the prototype has the capacity to implement the deep sea insitu scanning 3D measurement and reconstruction work. The standard deviation of the standard bat is 222 mm at a distance of 2 meters from the prototype. The above researches and experiments indicate that the prototype has the capacity of insitu measurement in deep sea. The higher threedimensional measurement accuracy can be realized.

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谢亮亮,屠大维,张旭,肖国梁,金攀.深海原位激光扫描双目立体视觉成像系统*[J].仪器仪表学报,2020,41(6):106-114

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  • 在线发布日期: 2022-03-01
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