State-of-the-art automated image orientation (Structure from Motion) and dense image
matching (Multiple View Stereo) methods commonly used to produce 3D information from …

Automated image-based 3D reconstruction methods are more and more flooding our 3D
modeling applications. Fully automated solutions give the impression that from a sample of …

Tools and algorithms for automated image processing and 3D reconstruction purposes have
become more and more available, giving the possibility to process any dataset of unoriented …

This paper reports the latest developments for the photogrammetric open‐source tool called
GRAPHOS (inte GRA ted PHO togrammetric Suite). GRAPHOS includes some recent …

In this paper, we propose a general deep learning based framework, named Sat-MVSF, to
perform three-dimensional (3D) reconstruction of the Earth's surface from multi-view optical …

The fully automatic processing and analysis of 3D point clouds represents a topic of major
interest in the fields of photogrammetry, remote sensing, computer vision, and robotics …

We describe a method for dense multi-view matching and 3D point cloud reconstruction,
which has been developed at the Institute of Geodesy and Photogrammetry of ETH Zurich …

Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …

We present a novel method for reconstructing parametric, volumetric, multi-story building
models from unstructured, unfiltered indoor point clouds with oriented normals by means of …

Abstract Three-dimensional (3D) reconstruction techniques have been used to obtain the 3D
representations of objects in civil engineering in the form of point cloud models, mesh …