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.

中文翻译：

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在计算机视觉应用中使用 2D 估计的 3D 对象定位

提出了一种基于姿态估计和相机标定的目标定位技术。3 维 (3D) 坐标是通过收集对象的多个二维 (2D) 图像来估计的，并用于相机的校准。讨论了涉及许多参数计算的校准步骤，包括用于消除镜头畸变的内在和外在参数、物体尺寸的计算和相机的位置计算。提出了一种使用 2D 图像估计 3D 姿态的转换策略。所提出的方法在MATLAB上实现，并对姿态估计和相机标定进行了验证实验。