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3d-GAN to model uncertainty and to perform effective history matching of a complex turbidite field case

3D-GAN to model uncertainty and to perform effective history...

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European conference on the Mathematics of Geological Reservoirs 2022, ECMOR 2022

作者： Busby, d. Berthet, P. Akhiyarov, d. Lapassade, M. Totalenergies

ISBN: (纸本)9789462824263

Modelling uncertainty of complex 3d geological fields can require several sophisticated geostatistical methods. Such methods include process like methods that mimic the physics of deposition to create more realistic geological models. Performing a full field history matching with such generative tools can be extremely challenging due to the large number of parameters that are used to generate each stochastic realization, the static data conditioning, and the complex and non-linear input-output relation. Ensemble data assimilation methods such as ESMdA (ensemble smoother with multiple data assimilation) are not directly applicable or can perform poorly due to the strong input parameter dependence and non-linearity. In this work we present some recent advances on the usage of GAN (Generative Adversarial Networks) to help solving the history matching problem when process like methods are used to generate multi-realizations to model the uncertainty of turbidite fields. GAN are deep learning generative models that are used in many AI applications. In history matching, using GAN to generate new geological models can help reducing drastically the input parameter space used to solve the inverse problem. In fact, to generate a new realization with a GAN we sample a random vector from a low dimensional independent Gaussian distribution (called the latent space). As a result, once the GAN is trained (using few thousands realizations generated with the process like methods), the inverse problem consists in having to invert only a few dozen independent parameters respect to a few millions dependent parameters in the original space. Usage of GAN for history matching of simple synthetic field cases has been discussed in previous works. However, to apply GAN on real field cases one needs to address several issues such as: - high number of cells of the input space (typical GAN architectures are build for 2d 128x128 images) - highly dependent input and non-linear input output relatio

关键词： Generative adversarial networks

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Bidirectional Projection Network for Cross dimension Scene Understanding

Bidirectional Projection Network for Cross Dimension Scene U...

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IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Hu, Wenbo Zhao, Hengshuang Jiang, Li Jia, Jiaya Wong, Tien-Tsin Chinese Univ Hong Kong Hong Kong Peoples R China Univ Oxford Oxford England Chinese Acad Sci SIAT Shenzhen Key Lab Virtual Real & Human Interact Te Beijing Peoples R China

ISBN: (纸本)9781665445092

2d image representations are in regular grids and can be processed efficiently, whereas 3d point clouds are unordered and scattered in 3d space. The information inside these two visual domains is well complementary, e.g., 2d images have fine-grained texture while 3d point clouds contain plentiful geometry information. However, most current visual recognition systems process them individually. In this paper, we present a bidirectional projection network (BPNet) for joint 2d and 3d reasoning in an end-to-end manner. It contains 2d and 3d sub-networks with symmetric architectures, that are connected by our proposed bidirectional projection module (BPM). Via the BPM, complementary 2d and 3d information can interact with each other in multiple architectural levels, such that advantages in these two visual domains can be combined for better scene recognition. Extensive quantitative and qualitative experimental evaluations show that joint reasoning over 2d and 3d visual domains can benefit both 2d and 3d scene understanding simultaneously. Our BPNet achieves top performance on the ScanNetV2 benchmark for both 2d and 3d semantic segmentation.

关键词： Geometry visualization Computer vision Three-dimensional displays Semantics Benchmark testing Image representation

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Hyper-SNBRdF: Hypernetwork for Neural BRdF Using Sinusoidal Activation

Hyper-SNBRDF: Hypernetwork for Neural BRDF Using Sinusoidal ...

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International conference on 3d Imaging, Modeling, Processing, visualization and Transmission (3dIMPVT)

作者： Zhiqiang Li Xukun Shen Xueyang Zhou Yong Hu Bowen Li State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beihang University Yunnan Innovation Institute School of New Media Art and Design Beihang University

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

densely captured real-world materials require effective compression for rendering, material generation and reconstruction. Neural networks with high compression rates and the ability to fit complex functions can encode each BRdF into the corresponding network. However, current works that take advantage of single implicit neural representations are incapable of effectively modeling the high-frequency details of the highlight region. In this paper, we propose an improved compact neural network representation of BRdF data based on the sinusoidal activation. The lightweight network and the periodic activation function improve the fidelity of the reproduction material appearance under the condition of a high compression rate. Furthermore, the method of building a unified model using neural networks can decode all materials from latent space. However, the deep structure of the network model increases memory consumption. To overcome this challenge, we propose a hypernetwork framework that compresses measured BRdFs to latent space and generates weights for the neural network-based representation of materials. The lightweight implicit representation of BRdF generated by training directly from original materials shows the characteristics of a low memory footprint and high-precision reproduction of appearance. Additionally, we apply the hypernetwork to reconstruct materials from a single image. Thanks to implicit representation of BRdF that can reproduce the appearance with high fidelity, the reflectance properties can be accurately recovered.

关键词： Weight measurement Training Reflectivity Image coding Anisotropic magnetoresistance Three-dimensional displays Neural networks

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Modeling and Printing Technology Based on 3d Registration Algorithm of MIMICS Software Applied to Hip Fracture 4th

Modeling and Printing Technology Based on 3D Registration Al...

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4th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2022

作者： ding, Jinshun Xu, Kefeng Ren, Yu Cao, Zhiying Changshu Meili Hospital Jiangsu Changshu215500 China Jiangsu Changshu215500 China

ISBN: (纸本)9783031181221

Hip fracture is the most common and serious fracture in the elderly. Because of the complicated types of acetabular fractures and the curved surface of acetabulum, the surgical treatment of two rows of acetabular fractures has proved to be challenging. Operation is the best treatment for hip fracture in the elderly. However, the elderly patients complicated with a variety of complex medical diseases and the decline of various organs increase the risk of operation, and the incidence of postoperative complications and mortality are also extremely high. The 3d reconstruction adopts MC algorithm. The basic idea is to treat the 2d slice sequence data as a 3d data field, process the voxels in the data field one by one, compare the value of each vertex of the voxel with a given threshold value to determine the construction form of the internal isosurface of the voxel, and connect it into a triangular patch to fit the surface in a certain topological form. Finally, connect the isosurface of each voxel to form the whole isosurface, which is used to represent the surface of the object. The hip joint model is established by imaging and 3d printing. The 3d solid model can truly express individual cases and the actual state and actual stress environment of individual cases, which makes the formulation of hip joint disease treatment plan faster, improves the prediction and prevention of long-term curative effect, and provides valuable clinical research. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Image segmentation

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Recent developments to the Radia magnetostatics code for improved performance and interface 14

Recent developments to the Radia magnetostatics code for imp...

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14th International conference on Synchrotron Radiation Instrumentation, SRI 2021

作者： Hall, C. Abell, d. Banerjee, A. Chubar, O. Edelen, J. Keilman, M. Moeller, P. Nagler, R. Nash, B. Radia Soft 6525 Gunpark Dr Suite 370-411 BoulderCO80301 United States Brookhaven National Laboratory UptonNY11973 United States

Radia is a 3d magnetostatics code that is widely used to model a range of magnets for particle accelerators, with particularly broad usage within the synchrotron light source community. Recently, Radia has been released as open source and made available for collaborative development on GitHub. A US dOE SBIR grant has been obtained for its upgrade and extension. The ongoing improvements are focused on the core physics engine, performance enhancements, and the development of a graphical user interface. Additionally, a new Python API (PyRadia) has been developed to allow for wider use of Radia outside of the existing Mathematica API. We have implemented the majority of the Radia examples in Python scripts and in Jupyter notebooks, including advanced visualization features for interactively viewing 3d geometries based on the VTK toolkit. The interaction matrix and field calculations have been parallelized using MPI and show good scaling performance on a variety of cluster architectures. The parallel Radia may be accessed via Python scripts or using the Jupyter interface. A Sirepo application is under development to provide a browser based interface to the Radia code allowing modeling of synchrotron light source magnets, with a focus on undulators. Kick maps and field maps may be exported for use in electron storage ring modeling codes such as elegant or AT, and tabulated undulator files may be exported for x-ray optics computation in a physical optics code such as Synchrotron Radiation Workshop. We summarize these developments and give an outlook for future development. © Published under licence by IOP Publishing Ltd.

关键词： Python

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ON THE ROLE OF dATA-SPACE HESSIAN IN WAVEFIELd reconstruction INVERSION 83

ON THE ROLE OF DATA-SPACE HESSIAN IN WAVEFIELD RECONSTRUCTIO...

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83rd EAGE conference and Exhibition 2022

作者： Sonbolestan, M. Aghamiry, H. Gholami, A. Operto, S. University of Tehran Iran University of Côte d'Azur Geoazur CNRS IRD OCA Valbonne France

ISBN: (纸本)9781713859314

In 3d, time-domain full-waveform inversion (FWI) is generally favored to solve the wave equation with explicit schemes. Furthermore, extended-space approaches such as wavefield reconstruction inversion (WRI) or extended-source FWI decrease the sensitivity of FWI to the initial model. However, their time-domain implementation is not straightforward because the wavefields in the extended space are the solution of a normal equation gathering the wave equation and the data equation. Recently, a strategy to compute these wavefields with explicit schemes has been proposed: the data residuals are first deblurred by the inverse of a data-domain Hessian. Then, the extended wavefields are computed by cascading a time-reversed simulation of the deblurred data residuals to compute the source extensions and a time-forward simulation using the extended source as right-hand side (RHS). This study investigates the role of this Hessian for building complex velocity models from rough initial models. We implement the effect of this Hessian approximately with the conjugate-gradient method and use source sketching to mitigate the computational burden of the multi-RHS simulations. We show that WRI successfully builds the Marmousi model with a rough diagonal approximation of the Hessian;however, for more complex models, the Hessian has a prominent role for building accurate models. © 83rd EAGE conference and Exhibition 2022. All rights reserved.

关键词： Wave equations

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3d Shape Estimation from RGB data Using 2.5d Features and deep Learning

3D Shape Estimation from RGB Data Using 2.5D Features and De...

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International conference on Advancements in Computational Sciences (ICACS)

作者： Hamid Ashfaq Ahmad Jalal Dept. of Creative Technologies Air University Islamabad Pakistan

Creation of 3d models from a single RGB image is challenging problem in image processing these days, as the technology is in its early development stage. However, the demands for 3d technology and 3d reconstruction have been rapidly increasing nowadays. The traditional approach of computer graphics is to create a geometric model in 3d and try to reproduce it onto a 2d image with rendering. The major aim of the study is to create 3d models from 2d RGB image using machine learning techniques to be less computationally complex as compared to any deep learning algorithm. The proposed model has been based on three different modules such as: 2.5d features extraction, mesh generation, and 3d boundary detection. The ShapeNet dataset has been used for comparison. The testing results has shown an accuracy of 90.77 % in the plane class, 85.72% in the chair class, and 72.14% in the automobile class. The proposed model could be applicable to problems where reconstruction of 3d models is required such as: variations in geometric scale, mix of textured, uniformly colored, and reflective surfaces.

关键词： deep learning Solid modeling Three-dimensional displays Machine learning algorithms Electronic learning Computational modeling virtual reality

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La Vierge 2020: Reconstructing a virtual Concert Performance Through Historic Auralisation of Notre-dame Cathedral

La Vierge 2020: Reconstructing a Virtual Concert Performance...

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conference on Immersive and 3d Audio - From Architecture to Automotive (I3dA)

作者： Katz, Brian F. G. Poirier-Quinot, david Lyzwa, Jean-Marc Sorbonne Univ CNRS Inst Alembert Paris France Conservatoire Natl Super Mus & Danse Paris Paris France

ISBN: (纸本)9781665409988

In honour of the International Year of Sound and for the 1 year memorial of the Notre-dame cathedral fire, a team of researchers and sound engineers created a virtual reconstruction of a concert in the cathedral, using close-mic recordings made on 24-April-2013 of a performance of La Vierge by Jules Massenet. This reconstruction was carried out during the period of strict COVId-19 confinement. With 83 musicians, 6 singers and a 160-person choir spatially distributed throughout the cathedral, the original performance offered a spatial composition highlighting the complex acoustics and interactions between source and listener positions. Individual tracks were convolved with spatial room impulse responses, created from a calibrated geometrical acoustic simulation. Several listening positions were binaurally rendered, along with an artistic mix created by a sound engineer, offering a unique 3d-audio experience approaching the reality of the moment in the past. distributed on-line, the website presenting this virtual reconstruction has been visited from users around the world. A listener opinion survey was included on the website. This paper presents an overview of the source material, the production workflow, and the challenges of realising such a production during confinement. Finally, an overview of visitor statistics and survey results is presented, providing insight into the reception of the virtual recreation and the interest towards future productions.

关键词： Heritage acoustics room acoustics auralization

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A versatile digital holography software for three-dimensional investigations 4

A versatile digital holography software for three-dimensiona...

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conference on Applied Optical Metrology IV

作者： Mansoor, M. M. Trolinger, J. d. George, J. MetroLaser Inc 22941 Mill Creek Dr Laguna Hills CA 92653 USA

ISBN: (数字)9781510644731

ISBN: (纸本)9781510644731

This work presents a versatile digital holography software (HOLO4d) that provides an all-in-one solution for holographic reconstruction, simulation, de-twining and lens distortion removal in a user-friendly graphical interface. The software accepts holograms for both, in-line and off-axes schemes with the option to locate and specify the cross-term in the latter case. Both amplitude and phase shifts are recovered from holograms generated by plane waves using multiple functionalities for propagation. These include the angular spectrum method, sinc-interpolation, upsampling-lowpass filter and zero-padding processes that can be applied in a variety of combinations to optimize holographic reconstructions. The virtual image that obscures the real image in these reconstructions is suppressed using a subtraction division plus mean (SdPM) normalization procedure or by iteratively updating the complex-valued wavefront in the detector plane. The use of lenses to manipulate the effective position of the hologram introduces optical distortions. These are removed by calibrating a dot-pattern hologram reconstruction in a step-by-step auto-detection procedure and mapping the distortion characteristics to the corresponding object hologram reconstruction. Hologram simulations enable determining the maximum field-of-view, fringes captured, and the lateral resolution possible based on the imaging sensor, illumination and setup specifications. The numerical package is used to process holograms of 80 mu m thick hair strands, scan the depth-of-field and locate the precise three-dimensional (3d) location of reconstructed objects. The results demonstrate the versatility of the software to reconstruct, de-twin, undistort and simulate holograms in a user-friendly manner and its applicability as a robust tool for 3d visualization, education, and holographic research.

关键词： Wavefront reconstruction de-twinning distortion aberration hologram simulation

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A Pilot Study on the Use of a Novel Mixed Reality Navigation System to Assist Femoral Tunnel Positioning in Single-Bundle Anterior Cruciate Ligament reconstruction

A Pilot Study on the Use of a Novel Mixed Reality Navigation...

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Intelligent Metaverse Technologies & Applications (iMETA), International conference on

作者： Zhefan Zhang Yuxuan Li Wei Huang Xing Fang Department of Information Design Wuhan University of Technology Wuhan China Department of Computer Science City University of Hong Kong Hong Kong China Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798350351514

ISBN: (纸本)9798350351521

Anterior cruciate ligament (ACL) reconstruction is crucial for restoring knee joint stability, and its success rate is largely dependent on the precise positioning of the femoral tunnel. Traditional surgical methods rely on two-dimensional (2d) images, which are accompanied by low spatial resolution, lack of three-dimensional (3d) anatomical information, and poor visualization. Mixed reality (MR) technology, with its advantages of preoperative computed tomography (CT) reconstruction and anatomical position visualization, has shown substantial potential in enhancing surgical precision. This research designed a novel Mixed Reality Surgical Navigation System (MR-SNS) and evaluated its effectiveness in assisting femoral tunnel positioning in single-bundle ACL reconstruction. The results suggested that the MR group using MR-SNS demonstrated higher femoral tunnel positioning precision (F $0.22\pm 0.16,0.66\pm 0.27$ ), notably superior to the conventional group ( $2.57\pm 0.30$ and $2.07\pm 0.34$ ). MR also displayed positive effects in reducing the cognitive load on surgeons. This study supports the application of MR-SNS in orthopaedic surgery, providing scientific evidence for the development of MR in surgical navigation. With technological advancements and cost reductions, MR-SNS is expected to become an indispensable tool for orthopaedic surgeons in achieving precise surgeries.

关键词： Costs Navigation Computed tomography Two-dimensional displays Surgery Mixed reality virtual reality Cognitive load Ligaments Image reconstruction

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