In recent years, structure from motion (SfM) and multi-view stereo (MVS) algorithms have
been successfully applied to stereo images generated by cameras mounted on unmanned …

In this paper, we propose a practical three-dimensional (3D) real-scene reconstruction
framework named Deep3D, which is paired with a deep learning based multi-view stereo …

Current procedures for the rapid inspection of buildings and infrastructure are subjective,
time-consuming, and cumbersome to document, necessitating new technologies to …

We present a parallelized optimization method based on fast Neural Radiance Fields
(NeRF) for estimating 6-DoF pose of a camera with respect to an object or scene. Given a …

This paper describes a pipeline for automatically generating level of detail (LOD) models
(digital twins), specifically LOD2 and LOD3, from free-standing buildings. Our approach …

ABSTRACT 3D reconstruction plays an increasingly important role in modern
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …

In plant phenoty**, accurate trait extraction from 3D point clouds of trees is still an open
problem. For automatic modeling and trait extraction of tree organs such as blossoms and …

To predict the response of masonry buildings to various types of loads, engineers use finite
element models, specifically solid-element and macro-element models. For predicting …

Data-driven approaches to addressing climate change are increasingly becoming a
necessary solution to deal with the scope and scale of interventions required to reach net …

Implicit radiance functions emerged as a powerful scene representation for reconstructing
and rendering photo-realistic views of a 3D scene. These representations, however, suffer …