Robust Stereo Calibration for Improved 2D-3D Projection in Real-World Pose Estimation - Experiment Image Data

This dataset comprises raw image data collected during our research project titled "Robust Stereo Calibration for Enhanced 2D-3D Projection in Real-World Pose Estimation." The study investigates novel approaches to improve stereo calibration for precise 3D projection and 2D back-projection in pose estimation.The dataset includes all image frames used for performing intrinsic and extrinsic calibration using the open-source Python library, OpenCV. We analyze various factors influencing calibration quality, such as camera positioning, calibration board sizes, and capture methods.The dataset structure is organized as follows: "frames/[experiment_group]/[experiment_group]_[frame_num].jpg". Here, experiment_group follows the format "[angle]_[size]_[camera]_[group]":Angle denotes the external experimental setting, representing the camera pair's viewing angle: close (15°), medium (45°), or wide (90°).Size indicates the calibration board size used in the experiment: A1, A2, or A3.Camera identifies the specific camera used for data capture: C1 (primary), C2, or C3 (pair).Group specifies the stereo camera pairing: G12 or G13, indicating simultaneous data capture from different perspectives.If the group tag is absent and "_internal" replaces it, the frames are used for intrinsic camera parameter estimation. Frames suffixed with "_single" indicate data captured using a still-capture image method; frames without this suffix were extracted from video footage captured using a video-capture method.

本数据集汇聚了我们在“面向现实场景姿态估计中增强2D-3D投影的鲁棒立体标定”这一研究项目期间收集的原始图像数据。该研究深入探讨了创新性方法，旨在提升立体标定的精度，以实现姿态估计中的精确3D投影与2D反向投影。数据集涵盖了用于通过开源Python库OpenCV进行内在与外在标定的所有图像帧。我们分析了影响标定质量的多项因素，包括相机定位、标定板尺寸以及捕获方式。数据集的结构组织如下：“frames/[实验组]/[实验组]_[帧编号].jpg”。在此，实验组遵循以下格式：“[角度]_[尺寸]_[相机]_[组]”：其中，角度（Angle）代表外部实验设置，表征相机对之间的视角：近（15°）、中（45°）或宽（90°）；尺寸（Size）表明实验中使用的标定板大小：A1、A2或A3；相机（Camera）标识用于数据捕获的具体相机：C1（主相机）、C2或C3（副相机对）；组（Group）指定立体相机的配对：G12或G13，表示从不同视角同时进行的数据捕获。若组标签缺失，且以“_internal”代替，则表示这些帧用于内在相机参数估计。以“_single”后缀结尾的帧表明使用静态捕获图像方法捕获的数据；而未带此后缀的帧则是通过视频捕获方法从视频素材中提取的。