摘要
针对当前重建目标区域缺失图像信息时局限性较大,提出一种结合三维VR技术的小区域目标重建方法。对小区域目标进行相机标定,在相机标定过程中,引入小区域目标二维图像物理参数组建相机成像模型,利用直接法求解小区域目标成像参数,结合相机标定的结果利用SURF算法对小区域目标二维图像提取特征点。寻找小区域目标图像内任意一个主方向,构成各个特征点的图像旋转不变量,以该不变量为依据利用归一化互相关方法计算出小区域目标两图像块之间的近似程度,通过对极几何的性质约束小区域目标特征匹配点计算基础矩阵,以获得的小区域目标投影矩阵和特征点的匹配关系为依据,完成小区域目标空间点的三维重建。实验结果表明该方法准确率及实用价值较高。
The current reconstruction of the target area has strong limitation while image information is missing,so a small-areatarget reconstruction method combining with3D VR technology is proposed.The small-area target is performed with camera calibration,in which the2D image′s physical parameters of small-area target are introduced to establish the camera imaging model,the direct method is used to solve the imaging parameters of small-area target,and the SURF algorithm is adopted to extract thefeature points of2D image of small-area target according to the camera calibration results.The arbitrary main direction withinthe small-area target image is found out to compose the image rotation invariant of each feature point.On this basis,the normalized cross-correlation method is used to calculate the approximation degree between two image blocks of small-area target.According to the property of epipolar geometry,the feature matching points of small-area target is restrained to calculate the basismatrix.The matching relation between the obtained small-area target projection matrix and feature points is taken as the basis torealize the3D reconstruction of small-area target spatial points.The experimental results show that the method has high accuracyand high practical value.
作者
郭亮
GUO Liang(College of Electrical Information,Changchun Guanghua University,Changchun 130000,China)
出处
《现代电子技术》
北大核心
2017年第19期94-97,共4页
Modern Electronics Technique
关键词
三维VR技术
小区域目标重建
相机标定
特征点匹配
3D VR technology
small-area target reconstruction
camera calibration
feature points matching
