Results 21 to 30 of about 111,024 (346)
Motivated by results on the mobility of mechanical devices called pentapods, this paper deals with a mathematically freestanding problem, which we call Möbius Photogrammetry. Unlike traditional photogrammetry, which tries to recover a set of points in three-dimensional space from a finite set of central projection, we consider the problem of ...
Gallet M, Nawratil G, Schicho J
openaire +4 more sources
SUPERVISED OUTLIER DETECTION IN LARGE-SCALE MVS POINT CLOUDS FOR 3D CITY MODELING APPLICATIONS [PDF]
We propose to use a discriminative classifier for outlier detection in large-scale point clouds of cities generated via multi-view stereo (MVS) from densely acquired images.
C. Stucker +3 more
doaj +1 more source
ESTIMATING WOOD VOLUME FOR PINUS BRUTIA TREES IN FOREST STANDS FROM QUICKBIRD-2 IMAGERY [PDF]
Knowledge of forest parameters, such as wood volume, is required for a sustainable forest management. Collecting such information in the field is laborious and even not feasible in inaccessible areas.
P. Patias, P. Stournara
doaj +1 more source
The International GNSS Service analysis centers provide orbit products of GPS satellites with weekly, daily, and sub-daily latency. The most frequent ultra-rapid products, which include 24 h of orbits derived from observations and 24 h of orbit ...
Junyang Gou +6 more
doaj +1 more source
Use of Drone Photogrammetry as An Innovative, Competency-Based Architecture Teaching Process
The use of drones is becoming increasingly popular in various fields. In the case of education, initiatives have emerged in which they are included as tools to develop student’s knowledge, and their use is becoming more frequent.
Jordi Rábago, M. Portuguez-Castro
semanticscholar +1 more source
Developing 3D models using photogrammetry for virtual reality training in anatomy
Virtual reality (VR) is an increasingly available resource with numerous applications to medical education, and as a teaching tool has been widely validated in the literature.
Kayla J Krause +3 more
semanticscholar +1 more source
NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES [PDF]
We propose a new approach for the automatic detection of network structures in raster data. The model for the network structure is represented by a graph whose nodes and edges correspond to junction-points and to connecting line segments, respectively ...
A. Schmidt +4 more
doaj +1 more source
A workflow for the creation of photorealistic 3D cadaveric models using photogrammetry
Three‐dimensional (3D) representations of anatomical specimens are increasingly used as learning resources. Photogrammetry is a well‐established technique that can be used to generate 3D models and has only been recently applied to produce visualisations
Morgan Titmus +7 more
semanticscholar +1 more source
LEARNING FROM THE PAST: CROWD-DRIVEN ACTIVE TRANSFER LEARNING FOR SEMANTIC SEGMENTATION OF MULTI-TEMPORAL 3D POINT CLOUDS [PDF]
The main bottleneck of machine learning systems, such as convolutional neural networks, is the availability of labeled training data. Hence, much effort (and thus cost) is caused by setting up proper training data sets.
M. Kölle, V. Walter, U. Soergel
doaj +1 more source
This research investigates the utilisation of the scan-to-HBIM-to-XR process and unmanned aerial vehicle (UAV) photogrammetry to improve the depiction of archaeological ruins, specifically focusing on the Claudius Anio Novus aqueduct in Tor Fiscale Park,
C. Stanga, F. Banfi, S. Roascio
semanticscholar +1 more source

