Automatic generation of bas-relief on 3D models based on 2D images for rhinoceros

2018 ◽  
Vol 23 (6) ◽  
pp. 99-113
Author(s):  
Sha LIU ◽  
Feng YANG ◽  
Shunxi WANG ◽  
Yu CHEN
Keyword(s):  
3D Models ◽  
Automatic Generation ◽  
2D Images

Structure-from-Motion, Capturing Geological Samples v1

2021 ◽  
Author(s):  
Madalyn Massey
Keyword(s):  
United States ◽  
Structure From Motion ◽  
3D Models ◽  
Geological Survey ◽  
United States Geological Survey ◽  
Geological Samples ◽  
Motion Capturing ◽  
2D Images

Structure-from-Motion (SfM) is a photogrammetry process that creates 3D models from overlapping 2D images. This protocol focuses on its application related to geological and geophysical samples. The samples includes fossil, hand samples and rocks. This is a recommended practice to be used later for the publication on United States Geological Survey website.

Telemetry-Based Depth Recovery for Virtual Factory Construction and Extension to Remote Facility Management

1999 ◽  
Author(s):  
Dan Zetu ◽  
Pat Banerjee ◽  
Ali Akgunduz
Keyword(s):  
3D Models ◽  
Human Motion ◽  
Facility Management ◽  
Virtual Manufacturing ◽  
Shop Floor ◽  
Virtual Factory ◽  
Depth Recovery ◽  
Camera Location ◽  
Virtual Manufacturing Environment ◽  
2D Images

Abstract The fast construction of a Virtual Factory model without using a CAD package can be made possible by using computer vision techniques. In order to create a realistic Virtual Manufacturing environment, especially when such a model has to be created in correlation to an existing facility, a reliable algorithm that extracts 3D models from camera images is needed, and this requires exact knowledge of the camera location when capturing images. In this paper, we describe an approach for depth recovery from 2D images based on tracking a camera within the environment. We also explore the extension of our telemetry-based algorithm to remote facility management, by tracking and synchronizing human motion on the shop floor with motion of an avatar in a Virtual Environment representing the same shop floor.

Automatic Creation of Virtual Artefacts from Video Sequences

2005 ◽  
Author(s):  
Andrew W. Fitzgibbon ◽  
Geoff Cross ◽  
Andrew Zisserman
Keyword(s):  
Focal Length ◽  
3D Models ◽  
Video Sequences ◽  
Digital Representation ◽  
The Third ◽  
3D Presentation ◽  
Object Features ◽  
The Given ◽  
System Geometry ◽  
2D Images

Digital representation of an artefact is necessary in order to measure, admire and analyse such ancient pieces. For the purpose of storing, recoding and transmitting information, digital photographs may be enough. However, in the examination purposes of an artefact, a 3D presentation is invaluable as it allows the object viewpoint to be modified freely and 3D measurements to be taken on object features. This chapter describes the system by which 3D models from photographs can be acquired, without the need for the calibration of system geometry such as the camera focal length, relative motion of the camera and object, and the relative positions of the camera and object. This system instead computes the representation of all possible objects and camera configurations which are consistent with the given image. The first section discusses how tracking points observed in 2D images allows for the computation of the relative camera and object geometry. The second section discusses the construction of a triangulated 3D model from the object projections. The third section discusses the refinement of the model based on surface texture.

scholarly journals ABGS: A System for the Automatic Generation of Building Information Models from Two-Dimensional CAD Drawings

2020 ◽  
Vol 12 (17) ◽  
pp. 6713
Author(s):  
Youngsoo Byun ◽  
Bong-Soo Sohn
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
3D Models ◽  
Automatic Generation ◽  
Information Modeling ◽  
Two Dimensional ◽  
Efficient Design ◽  
Information Models ◽  
Building Information ◽  
Floor Plans

Building Information Modeling (BIM) refers to 3D-based digital modeling of buildings and infrastructure for efficient design, construction, and management. Governments have recognized and encouraged BIM as a primary method for enabling advanced construction technologies. However, BIM is not universally employed in industries, and most designers still use Computer-Aided Design (CAD) drawings, which have been used for several decades. This is because the initial costs for setting up a BIM work environment and the maintenance costs involved in using BIM software are substantially high. With this motivation, we propose a novel software system that automatically generates BIM models from two-dimensional (2D) CAD drawings. This is highly significant because only 2D CAD drawings are available for most of the existing buildings. Notably, such buildings can benefit from the BIM technology using our low-cost conversion system. One of the common problems in existing methods is possible loss of information that may occur during the process of conversion from CAD to BIM because they mainly focus on creating 3D geometric models for BIM by using only floor plans. The proposed method has an advantage of generating BIM that contains property information in addition to the 3D models by analyzing floor plans and other member lists in the input design drawings together. Experimental results show that our method can quickly and accurately generate BIM models from 2D CAD drawings.

Classification of Left Atrial Appendage Morphology Using Deep Learning

2020 ◽  
Author(s):  
Mikayle A. Holm ◽  
Alex Deakyne ◽  
Erik Gaasedelen ◽  
Weston Upchurch ◽  
Paul A. Iaizzo
Keyword(s):  
Left Atrial ◽  
Left Atrial Appendage ◽  
Blood Clot ◽  
3D Models ◽  
Atrial Appendage ◽  
Blood Clots ◽  
Mri Scans ◽  
2D Images ◽  
Trained Network

Abstract Atrial fibrillation, a common cardiac arrhythmia, can lead to blood clots in the left atrial appendage (LAA) of the heart, increasing the risk of stroke. Understanding the LAA morphology can indicate the likelihood of a blood clot. Therefore, a classification convolutional neural network was implemented to predict the LAA morphology. Using 2D images of 3D models created from MRI scans of fixed human hearts and a pre-trained network, an 8.7% error rate was achieved. The network can be improved with more data or expanded to classify the LAA from the automatically segmented DICOM datasets and measure the LAA ostia.

scholarly journals 3D Modeling of Transformer Substation Based on Mapping and 2D Images

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Lei Sun ◽  
Xuesong Suo ◽  
Yifan Liu ◽  
Meng Zhang ◽  
Lijuan Han
Keyword(s):  
Laser Scanner ◽  
3D Models ◽  
Complex Data ◽  
Mapping Data ◽  
Transformer Substation ◽  
Hazardous Area ◽  
3D Databases ◽  
Different Shapes ◽  
Area Classification ◽  
2D Images

A new method for building 3D models of transformer substation based on mapping and 2D images is proposed in this paper. This method segments objects of equipment in 2D images by usingk-means algorithm in determining the cluster centers dynamically to segment different shapes and then extracts feature parameters from the divided objects by using FFT and retrieves the similar objects from 3D databases and then builds 3D models by computing the mapping data. The method proposed in this paper can avoid the complex data collection and big workload by using 3D laser scanner. The example analysis shows the method can build coarse 3D models efficiently which can meet the requirements for hazardous area classification and constructions representations of transformer substation.

scholarly journals AUTOMATIC GENERATION OF ROAD INFRASTRUCTURE IN 3D FOR VEHICLE SIMULATORS

2017 ◽  
Vol 12 ◽  
pp. 79
Author(s):  
Adam Orlický
Keyword(s):  
3D Models ◽  
Automatic Generation ◽  
Quality Models ◽  
Road Infrastructure ◽  
Modern Methods ◽  
Interaction Interface ◽  
Vehicle Simulator

One of the modern methods of testing new systems and interfaces in vehicles is testing in a vehicle simulator. Providing quality models of virtual scenes is one of tasks for driver-car interaction interface simulation. Nowadays, there exist many programs for creating 3D models of road infrastructures, but most of these programs are very expensive or canÂtt export models for the following use. Therefore, a plug-in has been developed at the Faculty of Transportation Sciences in Prague. It can generate road infrastructure by Czech standard for designing roads (CSN 73 6101). The uniqueness of this plug-in is that it is the first tool for generating road infrastructure in NURBS representation. This type of representation brings more exact models and allows to optimize transfer for creating quality models for vehicle simulators. The scenes created by this plug-in were tested on vehicle simulators. The results have shown that with newly created scenes drivers had a much better feeling in comparison to previous scenes.

scholarly journals Comparison of methods and tools for generating levels of details of 3D models for popular game engines

2020 ◽  
Vol 17 ◽  
pp. 412-416
Author(s):  
Michał Tomecki
Keyword(s):  
Computer Games ◽  
3D Models ◽  
Automatic Generation ◽  
Load Test ◽  
Comparison Of Methods ◽  
Simplified Models ◽  
Game Engines

Computer games have come a long way since their inception using increasingly advanced graphics. With so many models present on the screen at the same time, simplified models are needed that will be replaced when they are further away from the camera in the game. The aim of the study was to compare the tool for automatic generation of model detail levels in Unity and Unreal Engine. The article presents the results of the equipment load test and the time needed for generation, as well as a survey checking the opinion of people.

Sign in / Sign up

Export Citation Format

Share Document