论文标题
3D对象本地化使用计算机视觉应用的2D估计值
3D Object Localization Using 2D Estimates for Computer Vision Applications
论文作者
论文摘要
提出了一种基于姿势估计和摄像机校准的物体定位技术。通过收集对象的多个二维（2D）图像来估计3维（3D）坐标，并用于校准相机。校准步骤涉及许多参数计算，包括用于去除镜头失真的内在和外部参数，对象的大小和相机位置计算的计算。提出了使用2D图像估算3D姿势的转换策略。提出的方法是在MATLAB上实现的，并对姿势估计和摄像机校准进行了验证实验。
A technique for object localization based on pose estimation and camera calibration is presented. The 3-dimensional (3D) coordinates are estimated by collecting multiple 2-dimensional (2D) images of the object and are utilized for the calibration of the camera. The calibration steps involving a number of parameter calculation including intrinsic and extrinsic parameters for the removal of lens distortion, computation of object's size and camera's position calculation are discussed. A transformation strategy to estimate the 3D pose using the 2D images is presented. The proposed method is implemented on MATLAB and validation experiments are carried out for both pose estimation and camera calibration.
