共查询到19条相似文献，搜索用时 156 毫秒
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附约束条件的立体相机标定方法 总被引：1，自引：0，他引：1
在计算机视觉和摄影测量领域,经常应用立体相机对场景进行高精度的三维重建,其中立体相机的内参数和相机间的固定相对关系的高精度标定是关键的环节。本文推导了立体相机系统的两个相机间之间固定相对关系的六个独立约束条件,并利用这些约束关系按照附有限制条件的间接平差模型进行自检校光束法整体平差解算,从而实现立体相机的标定。最后的模拟数据和实际数据试验说明固定相对关系约束条件的引入,能够有效增加平差系统的多余观测数,提高标定的精度和稳健性。此方法能够方便地推广到多个相机组成的多相机立体量测系统的标定中。 相似文献
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多影像空三平差辅助下的车载全景相机严密标定方法 总被引：1，自引：0，他引：1
针对目前全景相机标定方法的研究现状,提出了一种多影像光束法空三平差辅助下的全景相机内参数严密标定方法。首先建立全景相机标定场,对组成全景相机的每台单相机的内参数进行标定;然后按照预先设计好的摄影参数,旋转摄影获取全景相机在标定场中多个不同摄影方向的影像,利用其中一个摄站的标定影像和物方控制点通过空间后方交会的方法解算单相机之间的初始相对方位元素,即粗标定;最后将所有摄站的标定影像构建区域网并进行光束法空三平差,获取精确的全景相机参数,即严密标定。试验表明,文中提出的全景相机标定方法可以提高标定结果的精度和可靠性,为全景影像的拼接、量测及真彩点云的生成等后续研究和应用奠定可靠的基础。 相似文献
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嫦娥-3号月面巡视探测器安装了一对导航相机、一对全景相机和一对避障相机,对这3对立体相机的检校是实施月面巡视探测器导航定位和地形恢复的基础。通过建立高精度的控制场,采用附有约束条件的间接平差方法,对嫦娥-3号月面巡视探测器的立体相机进行高精度的检校。试验表明,该方法能够提高相机检校的精度和稳定性。 相似文献
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相机外参数的标定是计算机视觉和摄影测量领域的研究热点。但是由于实际标定成本和相机安装环境的限制,难以频繁对其进行外参数标定。针对静态多目相机对外参数连续、在线、稳定的标定需求,提出一种多目相机外参数两步联合在线标定方法。该算法通过对共线交会的外参数初值进行稀疏光束法平差,使外参数存在系统噪声的情况下仍获取稳定估计值。外参数标定的实测试验和仿真分析结果表明,该方法对外参数初值系统误差具有鲁棒性强和收敛速度快的优点,解决了多目相机外参数的在线快速标定问题;满足对静态、连续、在线外参数标定有较高需求的实际工程应用,对视觉导航有参考和借鉴意义。 相似文献
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本文探究单镜头多旋翼消费型无人机进行城区局部区域三维重建的方法。首先,介绍影像匹配、区域网联合平差以及多视密集匹配等倾斜无人机数据三维重建中的关键技术;然后,利用地面飞行控制系统与倾斜无人机结合采集多视影像数据,结合少量的人工干预,采用Context Capture软件快速构建建筑物三维模型;最后,对构建的三维模型进行精度分析,结果满足精度要求,提高了三维建模的效率,为城镇局部重点区域三维重建提供新的思路。 相似文献
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星载传感器在轨辐射定标是定量遥感的核心和基础,其定标精度将直接决定定量遥感产品的质量。但是对于多相机拼接成像传感器而言,现有在轨辐射定标方法无法实现各相机绝对辐射定标与相机间相对辐射校正的一体化处理。因此,本文以高分一号(GF-1)卫星宽视场(WFV)传感器为例,提出了一种基于改进型辐射区域网平差的在轨辐射定标方法。该方法首先利用传统的交叉定标方法获取WFV传感器各相机的辐射控制点信息,然后在同轨相邻相机影像重叠区域中提取辐射连接点信息,最后在考虑相机间相对辐射校正与绝对辐射定标之间的耦合关系后,采用整体平差的方式同时获取各相机在轨绝对辐射定标系数及辐射约束条件方程参数。试验结果表明采用该方法获得的各波段在轨绝对辐射定标系数的相对误差均优于9.34%,同时利用该定标系数能够实现同轨相邻相机影像间相对辐射校正处理,其重叠区域各波段表观辐亮度差异绝对值的平均值均小于1.63 W·m~(-2)·sr~(-1)·μm~(-1)。 相似文献
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提出了基于大比例尺航空影像共面约束的相机自检校方法,该方法使用所有立体像对同名点基于共面约束对相机的内方位元素及畸变系数进行解算。首先进行航空影像同名点匹配,构建立体像对;然后基于共面约束使用直接解法和迭代优化进行相对定向,解算相机位置与姿态;最后使用最小二乘优化方法解算相机内方位元素和畸变系数。对于高分辨率大尺寸航空影像,图像中心及边缘的畸变差异较大,为了进一步提高解算精度,对图像进行网格区域划分解算畸变。使用大比例尺航空影像进行解算能真实精确反映航空摄影测量时所获取图像的相机参数和畸变系数,避免检校环境与使用环境不同解算得到的相机畸变参数不能真实反映所获取影像的畸变问题;使用所有同名点解算,避免由于选择不同特征点或控制点对检校精度的影响;通过区域网格划分,进一步提高了解算精度。对检校结果进行了分析,该方法精度较高,与基于室外检校场的精度相当,能真实精确反映航空摄影测量时所获取图像的相机参数和畸变系数,提高了三维重建的精度。 相似文献
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针对航空倾斜摄影系统多相机间相对关系的姿态误差,提出一种利用下视影像密集匹配点云约束的联合平差多相机姿态安装误差检校方法。文中方法以共线方程为基础,通过联立倾斜立体像对连接点、下视影像密集匹配点云数据提供的高程约束虚拟观测值,采用非线性最小二乘SQPM算法求解倾斜影像的外方位元素改正数,从而解算下视相机与倾斜相机间的姿态安装误差。为了保证连接点可靠性,提高虚拟观测值的有效性,采用下视影像密集匹配的点云约束倾斜影像立体连接点匹配和分布优化过程。利用SWDC-5倾斜摄影系统获取的数据进行实验,通过原始姿态检校参数将下视影像生成的密集点云投影至倾斜立体影像上,在像方有22个像素左右的误差,采用文中方法检校后,像方误差减少到0.29个像素。 相似文献
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PANHeping ZHANGChunsen 《地球空间信息科学学报》2003,6(2):48-54
This paper describes the structure,geometric model and geo-metric calibration of Photogrammetron I-the first type of photogrammetron which is designed to be a coherent stereo photogrammetric system in which two cameras are mounted on a physical base but driven by an intelligent agent architecture.The system calibration is divided into two parts:the in-lab calibration determines the fixed parameters in advance of system operation,and the insitu calibration keeps tracking the free parameters in real-time during the system operation.In a video surveillance set-up, prepared control points are tracked in stereo image sequences,so that the free parameters of the system can be continuously updated through iterative bundle adjustment and kalman filtering. 相似文献
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This paper describes the structure, geometric model and geometric calibration of Photogrammetron I—the first type of photogrammetron which is designed to be a coherent stereo photogrammetric system in which two cameras are mounted on a physical base but driven by an intelligent agent architecture. The system calibration is divided into two parts: the in-lab calibration determines the fixed parameters in advance of system operation, and the in-situ calibration keeps tracking the free parameters in real-time during the system operation. In a video surveillance set-up, prepared control points are tracked in stereo image sequences, so that the free parameters of the system can be continuously updated through iterative bundle adjustment and Kalman filtering. 相似文献
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A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs
Photogrammetric methods for dense 3D surface reconstruction are increasingly available to both professional and amateur users who have requirements that span a wide variety of applications. One of the key concerns in choosing an appropriate method is to understand the achievable accuracy and how choices made within the workflow can alter that outcome. In this paper we consider accuracy in two components: the ability to generate a correctly scaled 3D model; and the ability to automatically deliver a high quality data set that provides good agreement to a reference surface. The determination of scale information is particularly important, since a network of images usually only provides angle measurements and thus leads to unscaled geometry. A solution is the introduction of known distances in object space, such as base lines between camera stations or distances between control points. In order to avoid using known object distances, the method presented in this paper exploits a calibrated stereo camera utilizing the calibrated base line information from the camera pair as an observational based geometric constraint. The method provides distance information throughout the object volume by orbiting the object.In order to test the performance of this approach, four topical surface matching methods have been investigated to determine their ability to produce accurate, dense point clouds. The methods include two versions of Semi-Global Matching as well as MicMac and Patch-based Multi-View Stereo (PMVS). These methods are implemented on a set of stereo images captured from four carefully selected objects by using (1) an off-the-shelf low cost 3D camera and (2) a pair of Nikon D700 DSLR cameras rigidly mounted in close proximity to each other. Inter-comparisons demonstrate the subtle differences between each of these permutations. The point clouds are also compared to a dataset obtained with a Nikon MMD laser scanner. Finally, the established process of achieving accurate point clouds from images and known object space distances are compared with the presented strategies.Results from the matching demonstrate that if a good imaging network is provided, using a stereo camera and bundle adjustment with geometric constraints can effectively resolve the scale. Among the strategies for dense 3D reconstruction, using the presented method for solving the scale problem and PMVS on the images captured with two DSLR cameras resulted in a dense point cloud as accurate as the Nikon laser scanner dataset. 相似文献
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