Nowadays, photogrammetrically derived point clouds are widely used in ma...
Many practical systems for image-based surface reconstruction employ a
s...
Texture mapping as a fundamental task in 3D modeling has been well
estab...
Deep learning (DL) stereo matching methods gained great attention in rem...
Recommender systems are expected to be assistants that help human users ...
The evolution of mobile mapping systems (MMSs) has gained more attention...
Deep learning (DL) methods are widely investigated for stereo image matc...
Structure from motion using uncalibrated multi-camera systems is a
chall...
Multi-view stereo (MVS) reconstruction is essential for creating 3D mode...
Deriving LoD2 models from orthophoto and digital surface models (DSM)
re...
In this paper, based on the assumption that the object boundaries (e.g.,...
As an important application in remote sensing, landcover classification
...
In this paper, we propose a model-driven method that reconstructs LoD-2
...
Recently developed automatic dense image matching algorithms are now bei...
Remote sensing images and techniques are powerful tools to investigate e...
Bundle adjustment (BA) is a technique for refining sensor orientations o...
Individual tree detection and crown delineation (ITDD) are critical in f...
The current practice in land cover/land use change analysis relies heavi...
The geodatabase (vectorized data) nowadays becomes a rather standard dig...
Image-based 3D object modeling refers to the process of converting raw
o...
Offline reinforcement learning (RL) aims at learning a good policy from ...
Given enough multi-view image corresponding points (also called tie poin...
Nowadays dense stereo matching has become one of the dominant tools in 3...
Stereo dense image matching can be categorized to low-level feature base...
Although nowadays advanced dense image matching (DIM) algorithms are abl...
This paper presents an automated pipeline for processing multi-view sate...