Geologic Modelling Using Augmented Reality

2021 ◽  
Author(s):  
Phathompat Boonyasaknanon ◽  
Raymond Pols ◽  
Katja Schulze ◽  
Robert Rundle
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
3D Models ◽  
New Approach ◽  
Domain Experts ◽  
3D Objects ◽  
Track Record ◽  
Initial Work ◽  
Geologic Model ◽  
Time Critical

Abstract An augmented reality (AR) system is presented which enhances the real-time collaboration of domain experts involved in the geologic modeling of complex reservoirs. An evaluation of traditional techniques is compared with this new approach. The objective of geologic modeling is to describe the subsurface as accurately and in as much detail as possible given the available data. This is necessarily an iterative process since as new wells are drilled more data becomes available which either validates current assumptions or forces a re-evaluation of the model. As the speed of reservoir development increases there is a need for expeditious updates of the subsurface model as working with an outdated model can lead to costly mistakes. Common practice is for a geologist to maintain the geologic model while working closely with other domain experts who are frequently not co-located with the geologist. Time-critical analysis can be hampered by the fact that reservoirs, which are inherently 3D objects, are traditionally viewed with 2D screens. The system presented here allows the geologic model to be rendered as a hologram in multiple locations to allow domain experts to collaborate and analyze the reservoir in real-time. Collaboration on 3D models has not changed significantly in a generation. For co-located personnel the approach is to gather around a 2D screen. For remote personnel the approach has been sharing a model through a 2D screen along with video chat. These approaches are not optimal for many reasons. Over the years various attempts have been tried to enhance the collaboration experience and have all fallen short. In particular virtual reality (VR) has been seen as a solution to this problem. However, we have found that augmented reality (AR) is a much better solution for many subtle reasons which are explored in the paper. AR has already acquired an impressive track record in various industries. AR will have applications in nearly all industries. For various historical reasons, the uptake for AR is much faster in some industries than others. It is too early to tell whether the use of augmented reality in geological applications will be transformative, however the results of this initial work are promising.

Occlusion Handling in Augmented Reality Using Background-Foreground Segmentation and Projective Geometry

2005 ◽  
Vol 14 (3) ◽  
pp. 264-277 ◽  
Author(s):  
Hee Lin Wang ◽  
Kuntal Sengupta ◽  
Pankaj Kumar ◽  
Rajeev Sharma
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Structural Model ◽  
Real Life ◽  
3D Models ◽  
Video Stream ◽  
Foreground Segmentation ◽  
Camera Motion ◽  
3D Objects ◽  
Active Research

Developing a seamless merging of real and virtual image streams and 3D models is an active research topic in augmented reality (AR). We propose a method for real-time augmentation of real videos with 2D and 3D objects by addressing the occlusion issue in an unique fashion. For virtual planar objects (such as images), the 2D overlay is automatically overlaid in a planar region selected by the user in the video. The overlay is robust to arbitrary camera motion. Furthermore, a unique background-foreground segmentation algorithm renders this augmented overlay as part of the background if it coincides with foreground objects in the video stream, giving the impression that it is occluded by foreground objects. The proposed technique does not require multiple cameras, camera calibration, use of fiducials, or a structural model of the scene to work. Extending the work further, we propose a novel method of augmentation by using trifocal tensors to augment 3D objects in 3D scenes to similar effect and implement it in real time as a proof of concept. We show several results of the successful working of our algorithm in real-life situations. The technique works on a real-time video from a USB camera, Creative Webcam III, onaPIV1.6GHz system without any special hardware support.

Placing Three-Dimensional Models in an Uncalibrated Single Image of an Architectural Scene

2004 ◽  
Vol 13 (6) ◽  
pp. 692-707 ◽  
Author(s):  
Sara Keren ◽  
Ilan Shimshoni ◽  
Ayellet Tal
Keyword(s):  
Augmented Reality ◽  
Three Dimensional ◽  
3D Models ◽  
Automatic Extraction ◽  
Single Image ◽  
Vanishing Points ◽  
Correct Position ◽  
3D Objects ◽  
Position And Orientation ◽  
Three Dimensional Models

This paper discusses the problem of inserting 3D models into a single image. The main focus of the paper is on the accurate recovery of the camera's parameters, so that 3D models can be inserted in the “correct” position and orientation. The paper addresses two issues. The first is an automatic extraction of the principal vanishing points from an image. The second is a theoretical and an experimental analysis of the errors. To test the concept, a system that “plants” virtual 3D objects in the image was implemented. It was tested on many indoor augmented-reality scenes. Our analysis and experiments have shown that errors in the placement of the objects are unnoticeable.

AN S-PI VISION-BASED TRACKING SYSTEM FOR OBJECT MANIPULATION IN AUGMENTED REALITY

2015 ◽  
Vol 75 (4) ◽  
Author(s):  
Ajune Wanis Ismail ◽  
Mark Bilinghust ◽  
Mohd Shahrizal Sunar
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Tracking System ◽  
Object Manipulation ◽  
3D Graphics ◽  
Virtual Objects ◽  
3D Objects ◽  
Time Calibration ◽  
Detection Stage ◽  
Vision Algorithm

In this paper, we describe a new tracking approach for object handling in Augmented Reality (AR). Our approach improves the standard vision-based tracking system during marker extraction and its detection stage. It transforms a unique tracking pattern into set of vertices which are able to perform interaction such as translate, rotate, and copy. This is based on arobust real-time computer vision algorithm that tracks a paddle that a person uses for input. A paddle pose pattern is constructed in a one-time calibration process and through vertex-based calculation of the camera pose relative to the paddle we can show 3D graphics on top of it. This allows the user to look at virtual objects from different viewing angles in the AR interface and perform 3D object manipulation. This approach was implemented using marker-based tracking to improve the tracking in term of the accuracy and robustness in manipulating 3D objects in real-time. We demonstrate our improved tracking system with a sample Tangible AR application, and describe how the system could be improved in the future.

scholarly journals An Automated Training of Deep Learning Networks by 3D Virtual Models for Object Recognition

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 496 ◽  
Author(s):  
Kamil Židek ◽  
Peter Lazorík ◽  
Ján Piteľ ◽  
Alexander Hošovský
Keyword(s):  
Deep Learning ◽  
Object Recognition ◽  
Augmented Reality ◽  
3D Models ◽  
Processing Unit ◽  
Assembly Process ◽  
Learning Networks ◽  
Embedded Devices ◽  
New Approach ◽  
Virtual Models

Small series production with a high level of variability is not suitable for full automation. So, a manual assembly process must be used, which can be improved by cooperative robots and assisted by augmented reality devices. The assisted assembly process needs reliable object recognition implementation. Currently used technologies with markers do not work reliably with objects without distinctive texture, for example, screws, nuts, and washers (single colored parts). The methodology presented in the paper introduces a new approach to object detection using deep learning networks trained remotely by 3D virtual models. Remote web application generates training input datasets from virtual 3D models. This new approach was evaluated by two different neural network models (Faster RCNN Inception v2 with SSD, MobileNet V2 with SSD). The main advantage of this approach is the very fast preparation of the 2D sample training dataset from virtual 3D models. The whole process can run in Cloud. The experiments were conducted with standard parts (nuts, screws, washers) and the recognition precision achieved was comparable with training by real samples. The learned models were tested by two different embedded devices with an Android operating system: Virtual Reality (VR) glasses, Cardboard (Samsung S7), and Augmented Reality (AR) smart glasses (Epson Moverio M350). The recognition processing delays of the learned models running in embedded devices based on an ARM processor and standard x86 processing unit were also tested for performance comparison.

scholarly journals Real-Time Hallucination Simulation and Sonification through User-Led Development of an iPad Augmented Reality Performance

Leonardo ◽  
2015 ◽  
Vol 48 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Alexis Kirke ◽  
Joel Eaton ◽  
Eduardo Miranda
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Lead Author ◽  
Visual Hallucinations ◽  
New Approach ◽  
Visual Symptoms ◽  
Visual Expression ◽  
A Performance

The simulation of visual hallucinations has multiple applications. The authors present a new approach to hallucination simulation, initially developed for a performance, that proved to have uses for individuals suffering from certain types of hallucinations. The system, originally developed with a focus on the visual symptoms of palinopsia experienced by the lead author, allows real-time visual expression using augmented reality via an iPad. It also allows the hallucinations to be converted into sound through visuals sonification. Although no formal experimentation was conducted, the authors report on a number of unsolicited informal responses to the simulator from palinopsia sufferers and the Palinopsia Foundation.

scholarly journals Pengenalan alat musik tradisional Bangka dengan Marker-Based Augmented Reality

2019 ◽  
Vol 5 (2) ◽  
pp. 89 ◽  
Author(s):  
Fransiskus Panca Juniawan ◽  
Dwi Yuny Sylfania ◽  
Harrizki Arie Pradana ◽  
Laurentinus Laurentinus
Keyword(s):  
Augmented Reality ◽  
Light Intensity ◽  
Object Detection ◽  
Real Time ◽  
Performance Test ◽  
3D Models ◽  
Musical Instruments ◽  
Paper Test ◽  
Strongly Agree ◽  
High Level

Dengan berkembangnya teknologi, kesadaran akan pentingnya alat musik tradisional menjadi berkurang. Demikian juga dengan alat musik tradisional Bangka yang mulai kehilangan popularitasnya. Kondisi saat ini, para remaja di Bangka kebanyakan tidak dapat memainkan alat musik tradisionalnya. Begitu juga dengan anak-anak yang belum mengetahui dan bahkan tidak mengenal alat musik tradisional daerah mereka. Jika kondisi ini dibiarkan, dikhawatirkan keberadaan alat musik tradisional Bangka akan hilang, begitu juga dengan sumber daya manusia yang dapat memainkannya. Untuk menghindari hal tersebut, dibuatlah aplikasi pengenalan alat musik tradisional Bangka menggunakan Augmented Reality (AR). AR dipilih karena dapat memberikan gambaran alat musik secara real time dalam bentuk 3D sesuai dengan pergerakan kamera smartphone yang dinamis. Empat objek 3D alat musik yakni dambus, rebab, rebanatamborin, dan gong yang dibuat menggunakan Autodesk Maya. AR yang dibangun menggunakan metode berbasis marker. Metode ini dipilih agar lebih mudah digunakan oleh pengguna yang mayoritasnya adalah anak-anak. Selain itu, kelebihan metode ini memiliki tingkat akurasi posisi yang sangat tinggi. Unity sebagai engine untuk penerapan AR 3D modelling pada sistem Android dan Vuforia SDK sebagai engine pembentuk marker augmented reality. Pengujian fungsional memiliki hasil 100% dengan sistem yang berjalan baik. Hasil pengujian kinerja deteksi objek AR berdasarkan intensitas cahaya diketahui bahwa smartphone yang memiliki dua kamera di bagian belakang dapat mendeteksi objek dengan intensitas cahaya 0 Lux pada malam hari dengan kondisi gelap, sedangkan yang hanya memiliki satu kamera tidak dapat mendeteksi objek. Pengujian warna marker mendapatkan hasil modifikasi warna marker pink, kuning, dan hitam yang masih memungkinkan untuk pendeteksian objek, walaupun objek yang tampil tidak stabil. Dari pengujian kertas marker diketahui bahwa jenis kertas tidak berpengaruh terhadap pendeteksian objek. Pengujian beta dilakukan dengan cara membagikan kuesioner terkait pengalaman pengguna dalam penggunaan sistem. Hasil survei diketahui pengguna merasa sangat setuju dengan nilai sebesar 80%, bahwa penggunaan sistem dapat membantu mereka dalam mengenal alat musik tradisional Bangka.   With the incessant development of technology, awareness on the importance of traditional musical instruments has declined. Similarly, teenagers living in Bangka no longer play their traditional musical instruments, and children are not exposed to their cultural heritage. However, if this continues, it is feared that the existence of traditional Bangka musical instruments will soon go extinct. To avoid this, researchers have proposed an application to identify this media using Augmented Reality (AR). This technique was chosen due to its ability to provide visuals of musical instruments in real time using 3D models in accordance with the dynamic movement of smartphone cameras. This comprises of four 3D objects namely dambus, rebab, rebanatamborin, and gong, which were designed and developed using Autodesk Maya. AR is built using marker-based methods, which was chosen for easy use because majority of its users are children, and its high level of accuracy. Unity was utilized as an engine for its implementation in the Android system, and Vuforia SDK as augmented reality marker-builder engine. Functional testing showed 100% results which means that the system is running well. From the results of the AR object detection performance test based on light intensity it is known that a smartphone with two cameras in the backside has the ability to detect objects with a light intensity of 0 Lux in dark rooms, while the other smartphone with one camera failed to detect the objects. Color testing obtained a modification of marker colors comprising of pink, yellow, and black which are still able to detect objects, although not stable. The paper test marker has no effect on object detection. Beta testing questionnaires were used to obtain information related to user experience. From the survey results, it is known that users strongly agree (80%) that the use of the system helps them to recognize traditional Bangka musical instruments.

scholarly journals Smart Architectural and Urban Heritage: An Applied Reflection

Heritage ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 2044-2053
Author(s):  
Stefano Brusaporci ◽  
Pamela Maiezza
Keyword(s):  
Augmented Reality ◽  
Multimedia Information ◽  
Real Time ◽  
Case Studies ◽  
Digital Technologies ◽  
3D Models ◽  
Current Configuration ◽  
Urban Heritage ◽  
Mobile Ar

The aim of this paper is to present the use of 3D models and augmented reality (AR) to study and communicate architectural and urban values and, therefore, favor the development of dedicated forms of “smart heritage”. The study rises from a reflection on the concept of “heritage”, as defined in the international documents, intended as an evolving idea that puts together tangible and intangible aspects. Moreover, digital technologies favor “phygital” applications where the digital dimension support the traditional ones. In this way, AR allows the superimposition of multimedia information to heritage, respecting the historical matter of the artefacts, and supporting a “smart heritage” application. In particular, mobile AR, with real-time and ubiquitous visualizations, offers the opportunity to show past urban and architectural configurations to investigate and describe the transformations that have led to the current configuration, and consequently highlighting the present historical and architectural values of the buildings. Two case studies are presented: the square of St. Basilio Monastery, with its historical transformations, and the Basilica of Collemaggio, a pivotal building in the rites of “Perdonanza Celestiniana”.

scholarly journals 3D Objects based Security in Virtual and Augmented Reality Systems

2019 ◽  
Vol 19 (2) ◽  
Author(s):  
Haroun Djaghloul ◽  
Jean-Pierre Jessel
Keyword(s):  
Augmented Reality ◽  
3D Models ◽  
Affine Transformations ◽  
3D Objects ◽  
Augmented Reality System ◽  
Solid Geometry ◽  
Different Types ◽  
Virtual And Augmented Reality ◽  
Security Information ◽  
Geometric Primitives

This paper presents a new method for public and blind watermarking of 3D objects and hiding information of various types in virtual reality and augmented reality environments. In particular, the virtual scene is transformed to a tree-based model using constructive solid geometry (CSG). The tree of the virtual 3D objects is composed of nodes and leafs. Each tree node contains a set operator (union, intersection or difference) whereas the tree leafs consist of geometric primitives such as spheres, cylinders and cubes. The proposed method allows embedding invisible watermarks that can hide different security information types. The proposed method ensures unlimited capacity and absolute invisibility of the hidden information with robustness to affine transformations. Thanks to these unique properties, it is possible to implement all the security infrastructures needed for a virtual and augmented reality system. Finally, the performances of the proposed method are shown using 3D models of different types and scenes.

Organ Augmented Reality

2010 ◽  
Vol 1 (2) ◽  
pp. 51-66 ◽  
Author(s):  
Christian Jacquemin ◽  
Rami Ajaj ◽  
Sylvain Le Beux ◽  
Christophe d’Alessandro ◽  
Markus Noisternig ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Augmented Reality ◽  
Real Time ◽  
Acoustic Analysis ◽  
Sound Field ◽  
Musical Instrument ◽  
New Approach ◽  
Sound Levels ◽  
Organ Pipes

This paper discusses the Organ Augmented Reality (ORA) project, which considers an audio and visual augmentation of an historical church organ to enhance the understanding and perception of the instrument through intuitive and familiar mappings and outputs. ORA has been presented to public audiences at two immersive concerts. The visual part of the installation was based on a spectral analysis of the music. The visuals were projections of LED-bar VU-meters on the organ pipes. The audio part was an immersive periphonic sound field, created from the live capture of the organ sounds, so that the listeners had the impression of being inside the augmented instrument. The graphical architecture of the installation is based on acoustic analysis, mapping from sound levels to synchronous graphics through visual calibration, real-time multi-layer graphical composition and animation. The ORA project is a new approach to musical instrument augmentation that combines enhanced instrument legibility and enhanced artistic content.

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