scholarly journals Preparation of 2D sequences of corneal images for 3D model building

2014 ◽  
Vol 114 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Abdulhakim Elbita ◽  
Rami Qahwaji ◽  
Stanley Ipson ◽  
Mhd Saeed Sharif ◽  
Faruque Ghanchi
Keyword(s):  
3D Model ◽  
Model Building

scholarly journals 3D MODEL GENERATION FROM UAV: HISTORICAL MOSQUE (MASJID LAMA NILAI)

2017 ◽  
Vol XLII-2/W6 ◽  
pp. 251-255
Author(s):  
N. H. Mohd Nasir ◽  
K. N. Tahar
Keyword(s):  
Unmanned Aerial Vehicle ◽  
3D Model ◽  
Model Building ◽  
Accuracy Assessment ◽  
Building Technology ◽  
Structural Problems ◽  
Time To Build ◽  
Aerial Vehicle ◽  
D Model ◽  
Accurate Record

Preserving cultural heritage and historic sites is an important issue. These sites are subjected to erosion and vandalism, and, as long-lived artifacts, they have gone through many phases of construction, damage and repair. It is important to keep an accurate record of these sites using the 3-D model building technology as they currently are, so that preservationists can track changes, foresee structural problems, and allow a wider audience to “virtually” see and tour these sites. Due to the complexity of these sites, building 3-D models is time consuming and difficult, usually involving much manual effort. This study discusses new methods that can reduce the time to build a model using the Unmanned Aerial Vehicle method. This study aims to develop a 3D model of a historical mosque using UAV photogrammetry. In order to achieve this, the data acquisition set of Masjid Lama Nilai, Negeri Sembilan was captured by using an Unmanned Aerial Vehicle. In addition, accuracy assessment between the actual and measured values is made. Besides that, a comparison between the rendering 3D model and texturing 3D model is also carried out through this study.

3D Reconstruction Optimization Algorithm Based on Dynamic Clustering in Transformer Substation

2017 ◽  
Vol 14 (1) ◽  
pp. 248-251
Author(s):  
Xuesong Suo ◽  
Chenwei Hou ◽  
Lei Sun ◽  
Zi Liu
Keyword(s):  
Clustering Algorithm ◽  
3D Model ◽  
Model Building ◽  
Reconstruction Algorithm ◽  
Cluster Center ◽  
Dynamic Clustering ◽  
Dynamic Cluster ◽  
Model Library ◽  
Transformer Substation ◽  
Different Shapes

The visual substation model construction is paid more and more attention. In order to build the substation 3D model without increasing the workload, researchers in related fields often make 3D modeling by transforming the 2D images into 3D model. This paper proposes a reconstruction algorithm based on dynamic clustering algorithm which is used in reconstruction of transformer substation. According to this method, a dynamic cluster center array can be established, and the different shapes of the same device can be divided, and the information can be extracted and matched with the 3D model library to complete the 3D model building. The verification results show that the proposed method has higher precision and recall. At last this paper gives a simple example and a complicated example to verify the validity of the method.

scholarly journals Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices

2020 ◽  
Vol 12 (21) ◽  
pp. 3616
Author(s):  
Stefano Tavani ◽  
Antonio Pignalosa ◽  
Amerigo Corradetti ◽  
Marco Mercuri ◽  
Luca Smeraglia ◽  
...  
Keyword(s):  
3D Model ◽  
Model Building ◽  
Satellite System ◽  
Test Case ◽  
Digital Terrain ◽  
Ground Control Points ◽  
Terrain Models ◽  
Aerial Vehicle ◽  
Global Navigation Satellite ◽  
The Impact

Geotagged smartphone photos can be employed to build digital terrain models using structure from motion-multiview stereo (SfM-MVS) photogrammetry. Accelerometer, magnetometer, and gyroscope sensors integrated within consumer-grade smartphones can be used to record the orientation of images, which can be combined with location information provided by inbuilt global navigation satellite system (GNSS) sensors to geo-register the SfM-MVS model. The accuracy of these sensors is, however, highly variable. In this work, we use a 200 m-wide natural rocky cliff as a test case to evaluate the impact of consumer-grade smartphone GNSS sensor accuracy on the registration of SfM-MVS models. We built a high-resolution 3D model of the cliff, using an unmanned aerial vehicle (UAV) for image acquisition and ground control points (GCPs) located using a differential GNSS survey for georeferencing. This 3D model provides the benchmark against which terrestrial SfM-MVS photogrammetry models, built using smartphone images and registered using built-in accelerometer/gyroscope and GNSS sensors, are compared. Results show that satisfactory post-processing registrations of the smartphone models can be attained, requiring: (1) wide acquisition areas (scaling with GNSS error) and (2) the progressive removal of misaligned images, via an iterative process of model building and error estimation.

3D-model building of the jaw impression

1997 ◽  
Author(s):  
Moumen T. Ahmed ◽  
Sameh M. Yamany ◽  
Elsayed E. Hemayed ◽  
Aly A. Farag
Keyword(s):  
3D Model ◽  
Model Building

A preliminary 3D model for cytochrome P450 2D6 constructed by homology model building

1993 ◽  
Vol 7 (3) ◽  
pp. 281-289 ◽  
Author(s):  
Luc M. H. Koymans ◽  
Nico P. E. Vermeulen ◽  
Allard Baarslag ◽  
Gabri�lle M. Donn�-Op den Kelder
Keyword(s):  
Cytochrome P450 ◽  
3D Model ◽  
Model Building ◽  
Homology Model ◽  
Cytochrome P450 2D6 ◽  
P450 2D6

scholarly journals Specifications and Standards for Insect 3D Data

2018 ◽  
Vol 2 ◽  
pp. e26561
Author(s):  
Jiangning Wang ◽  
Jing Ren ◽  
Tianyu Xi ◽  
Siqin Ge ◽  
Liqiang Ji
Keyword(s):  
3D Reconstruction ◽  
3D Model ◽  
Model Building ◽  
3D Models ◽  
Model Specification ◽  
Specimen Preparation ◽  
Reconstruction Process ◽  
Specimen Collection ◽  
3D Data ◽  
Imaging Results

With the continuous development of imaging technology, the amount of insect 3D data is increasing, but research on data management is still virtually non-existent. This paper will discuss the specifications and standards relevant to the process of insect 3D data acquisition, processing and analysis. The collection of 3D data of insects includes specimen collection, sample preparation, image scanning specifications and 3D model specification. The specimen collection information uses existing biodiversity information standards such as Darwin Core. However, the 3D scanning process contains unique specifications for specimen preparation, depending on the scanning equipment, to achieve the best imaging results. Data processing of 3D images includes 3D reconstruction, tagging morphological structures (such as muscle and skeleton), and 3D model building. There are different algorithms in the 3D reconstruction process, but the processing results generally follow DICOM (Digital Imaging and Communications in Medicine) standards. There is no available standard for marking morphological structures, because this process is currently executed by individual researchers who create operational specifications according to their own needs. 3D models have specific file specifications, such as object files (https://en.wikipedia.org/wiki/Wavefront_.obj_file) and 3D max format (https://en.wikipedia.org/wiki/.3ds), which are widely used at present. There are only some simple tools for analysis of three-dimensional data and there are no specific standards or specifications in Audubon Core (https://terms.tdwg.org/wiki/Audubon_Core), the TDWG standard for biodiversity-related multi-media. There are very few 3D databases of animals at this time. Most of insect 3D data are created by individual entomologists and are not even stored in databases. Specifications for the management of insect 3D data need to be established step-by-step. Based on our attempt to construct a database of 3D insect data, we preliminarily discuss the necessary specifications.

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