Outdoor 3D Reconstruction Using Monocular Depth Estimation and Photogrammetric Point Clouds

Augmented reality (AR) is a rapidly evolving field, yet research has predominantly focused on indoor applications, leaving outdoor environments relatively underexplored. Metric Depth Estimation (MDE) plays a pivotal role in AR, enabling essential functionalities such as object placement and occlusion handling by extracting depth and perspective information from single 2D images.  

This repository contains data and code for evaluating 3D reconstruction methods using monocular depth estimation and photogrammetry. The data includes single outdoor images used for generating point clouds through monocular depth estimation models as well as a set of images with a resolution of 480x853 pixels, used to create reference point clouds via photogrammetry techniques. Scripts and tools for processing the images, generating point clouds are also included.