#Structure-from-Motion

GTSfM, or Georgia Tech Structure-from-Motion, is a comprehensive 3D reconstruction pipeline that employs parallel computing and advanced deep learning methods such as SuperPoint and SuperGlue. It processes images to create 3D models efficiently, across different platforms including clusters. With a modular and customizable architecture, GTSfM supports both commercial and non-commercial usage, accommodating EXIF data and ground truth intrinsics. Results can be visualized in Open3D or reformatted for nerfstudio, positioning GTSfM as a flexible tool in computer vision.

GLOMAP introduces an efficient image-based reconstruction pipeline that accelerates global structure-from-motion processes significantly, surpassing traditional methods. It offers high-quality 3D reconstruction using COLMAP databases, improving efficiency exponentially. Seamlessly integrating with COLMAP, PoseLib, and multiple visualization tools, GLOMAP is well-suited for researchers requiring fast and accurate 3D modeling. Leverage GLOMAP to enhance image processing across expansive datasets, ensuring high-quality reconstruction for advanced use cases.