scholarly journals 3D model generation for cities using aerial photographs and ground level laser scans

2005 ◽  
Author(s):  
C. Fruh ◽  
A. Zakhor
Keyword(s):  
3D Model ◽  
Ground Level ◽  
Aerial Photographs ◽  
Model Generation ◽  
Level Laser

scholarly journals VERIFICATION OF POTENCY OF AERIAL DIGITAL OBLIQUE CAMERAS FOR AERIAL PHOTOGRAMMETRY IN JAPAN

2016 ◽  
Vol XLI-B1 ◽  
pp. 63-68 ◽  
Author(s):  
Ryuji Nakada ◽  
Masanori Takigawa ◽  
Tomowo Ohga ◽  
Noritsuna Fujii
Keyword(s):  
3D Model ◽  
3D Models ◽  
Aerial Photographs ◽  
Digital Cameras ◽  
Digital Mapping ◽  
Aerial Photogrammetry ◽  
Public Survey ◽  
Survey Accuracy ◽  
Left And Right ◽  
Simultaneous Adjustment

Digital oblique aerial camera (hereinafter called “oblique cameras”) is an assembly of medium format digital cameras capable of shooting digital aerial photographs in five directions i.e. nadir view and oblique views (forward and backward, left and right views) simultaneously and it is used for shooting digital aerial photographs efficiently for generating 3D models in a wide area. <br><br> For aerial photogrammetry of public survey in Japan, it is required to use large format cameras, like DMC and UltraCam series, to ensure aerial photogrammetric accuracy. <br><br> Although oblique cameras are intended to generate 3D models, digital aerial photographs in 5 directions taken with them should not be limited to 3D model production but they may also be allowed for digital mapping and photomaps of required public survey accuracy in Japan. <br><br> In order to verify the potency of using oblique cameras for aerial photogrammetry (simultaneous adjustment, digital mapping and photomaps), (1) a viewer was developed to interpret digital aerial photographs taken with oblique cameras, (2) digital aerial photographs were shot with an oblique camera owned by us, a Penta DigiCAM of IGI mbH, and (3) accuracy of 3D measurements was verified.

Dense 3D Model Generation of a Dam Surface Using UAV for Visual Inspection

2018 ◽  
pp. 151-162
Author(s):  
Stefano Angeli ◽  
Andrea Maria Lingua ◽  
Paolo Maschio ◽  
Luca Piantelli ◽  
Davide Dugone ◽  
...  
Keyword(s):  
Visual Inspection ◽  
3D Model ◽  
Model Generation

A new general method of 3D model generation for active shape image segmentation

2006 ◽  
Author(s):  
Seong-Jae Lim ◽  
Jayaram K. Udupa ◽  
Andre Souza ◽  
Yong-Yeon Jeong ◽  
Yo-Sung Ho ◽  
...  
Keyword(s):  
Image Segmentation ◽  
3D Model ◽  
Model Generation ◽  
Active Shape ◽  
General Method

scholarly journals PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy

Structure ◽  
2013 ◽  
Vol 21 (8) ◽  
pp. 1299-1306 ◽  
Author(s):  
Hans Elmlund ◽  
Dominika Elmlund ◽  
Samy Bengio
Keyword(s):  
Electron Microscopy ◽  
Single Particle ◽  
3D Model ◽  
Model Generation ◽  
Cryo Electron Microscopy

scholarly journals PredMP: a web server for de novo prediction and visualization of membrane proteins

2018 ◽  
Vol 35 (4) ◽  
pp. 691-693 ◽  
Author(s):  
Sheng Wang ◽  
Shiyang Fei ◽  
Zongan Wang ◽  
Yu Li ◽  
Jinbo Xu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Lipid Bilayer ◽  
3D Model ◽  
De Novo ◽  
3D Structure ◽  
Supplementary Information ◽  
Model Generation ◽  
Transmembrane Topology ◽  
Distance Restraints ◽  
Deep Learning Model

Abstract Motivation PredMP is the first web service, to our knowledge, that aims at de novo prediction of the membrane protein (MP) 3D structure followed by the embedding of the MP into the lipid bilayer for visualization. Our approach is based on a high-throughput Deep Transfer Learning (DTL) method that first predicts MP contacts by learning from non-MPs and then predicts the 3D model of the MP using the predicted contacts as distance restraints. This algorithm is derived from our previous Deep Learning (DL) method originally developed for soluble protein contact prediction, which has been officially ranked No. 1 in CASP12. The DTL framework in our approach overcomes the challenge that there are only a limited number of solved MP structures for training the deep learning model. There are three modules in the PredMP server: (i) The DTL framework followed by the contact-assisted folding protocol has already been implemented in RaptorX-Contact, which serves as the key module for 3D model generation; (ii) The 1D annotation module, implemented in RaptorX-Property, is used to predict the secondary structure and disordered regions; and (iii) the visualization module to display the predicted MPs embedded in the lipid bilayer guided by the predicted transmembrane topology. Results Tested on 510 non-redundant MPs, our server predicts correct folds for ∼290 MPs, which significantly outperforms existing methods. Tested on a blind and live benchmark CAMEO from September 2016 to January 2018, PredMP can successfully model all 10 MPs belonging to the hard category. Availability and implementation PredMP is freely accessed on the web at http://www.predmp.com. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Photogrammetry in ichnology: 3D model generation, visualisation, and data extraction

2020 ◽  
Author(s):  
Jens Lallensack ◽  
Michael Buchwitz ◽  
Anthony Romilio
Keyword(s):  
3D Model ◽  
Data Extraction ◽  
Model Generation

scholarly journals Analysis Of Aerial Photography With Drone Type Fixed Wing In Kotabaru, Lampung

2018 ◽  
Vol 2 (1) ◽  
pp. 102-107
Author(s):  
Indreswari Suroso ◽  
Erwhin Irmawan
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Ground Level ◽  
Aerial Photographs ◽  
Aerial Photos ◽  
Above Ground Level ◽  
The World ◽  
Air Capture ◽  
Aerial Vehicle ◽  
Operational Time

In the world of photography is very closely related to the unmanned aerial vehicle called drones. Drones mounted camera so that the plane is pilot controlled from the mainland. Photography results were seen by the pilot after the drone aircraft landed. Drones are unmanned drones that are controlled remotely. Unmanned Aerial Vehicle (UAV), is a flying machine that operates with remote control by the pilot. Methode for this research are preparation assembly of drone, planning altitude flying, testing on ground, camera of calibration, air capture, result of aerial photos and analysis of result aerial photos. There are two types of drones, multicopter and fixed wing. Fixed wing  has an airplane like shape with a wing system. Fixed wing use bettery 4000 mAh . Fixed wing drone in this research used   mapping in  This drone has a load ability of 1 kg and operational time is used approximately 30 minutes for an areas 20 to 50 hectares with a height of 100 m  to 200 m and payload 1 kg  above ground level. The aerial photographs in Kotabaru produce excellent aerial photographs that can help mapping the local government in the Kotabaru region.

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