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Semantics-Controlled Gaussian Splatting for Outdoor Scene reconstruction and Rendering in virtual Reality

Semantics-Controlled Gaussian Splatting for Outdoor Scene Re...

引用

IEEE Annual International Symposium virtual Reality

作者： Hannah Schieber Jacob Young Tobias Langlotz Stefanie Zollmann daniel Roth Technical University of Munich Human-Centered Computing and Extended Reality Lab TUM University Hospital Clinic for Orthopedics and Sports Orthopedics Munich Germany Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany Department of Computer Science University of Otago Dunedin New Zealand Department of Computer Science Aarhus University Aarhus Denmark

ISBN: (数字)9798331536459

ISBN: (纸本)9798331536466

Advancements in 3d rendering like Gaussian Splatting (GS) allow novel view synthesis and real-time rendering in virtual reality (VR). However, GS-created 3d environments are often difficult to edit. For scene enhancement or to incorporate 3d assets, segmenting Gaussians by class is essential. Existing segmentation approaches are typically limited to certain types of scenes, e.g., "circular" scenes, to determine clear object boundaries. However, this method is ineffective when removing large objects in non-"circling" scenes such as large outdoor *** propose Semantics-Controlled GS (SCGS), a segmentation-driven GS approach, enabling the separation of large scene parts in uncontrolled, natural environments. SCGS allows scene editing and the extraction of scene parts for VR. Additionally, we introduce a challenging outdoor dataset, overcoming the "circling" setup. We outperform the state-of-the-art in visual quality on our dataset and in segmentation quality on the 3d-OVS dataset. We conducted an exploratory user study, comparing a 360-video, plain GS, and SCGS in VR with a fixed viewpoint. In our subsequent main study, users were allowed to move freely, evaluating plain GS and SCGS. Our main study results show that participants clearly prefer SCGS over plain GS. We overall present an innovative approach that surpasses the state-of-the-art both technically and in user experience.

关键词： visualization Three-dimensional displays Semantics virtual reality User interfaces Rendering (computer graphics) User experience Real-time systems

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LLM-powered Gaussian Splatting in VR interactions

LLM-powered Gaussian Splatting in VR interactions

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virtual Reality and 3d User Interfaces Abstracts and Workshops (VRW), IEEE conference on

作者： Haotian Mao Zhuoxiong Xu Siyue Wei Yule Quan Nianchen deng Xubo Yang Shanghai Jiao Tong University Shanghai AI Lab

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Recent advances in radiance field rendering, particularly 3d Gaussian Splatting (3dGS), have demonstrated significant potential for VR content creation, offering both high-quality rendering and an efficient production pipeline. However, current physics-based interaction systems for 3dGS are limited to either simplistic, unrealistic simulations or require substantial user input for complex scenes, largely due to the lack of scene comprehension. In this demonstration, we present a highly realistic interactive VR system powered by large language models (LLMs). After object-aware GS reconstruction, we prompt GPT-4o to analyze the physical properties of objects in the scene, which then guide physical simulations that adhere to real-world phenomena. Additionally, We design a GPT-assisted GS inpainting module to complete the areas occluded by manipulated objects. To facilitate rich interaction, we introduce a computationally efficient physical simulation framework through a PBd-based unified interpolation method, which supports various forms of physical interactions. In our research demonstrations, we reconstruct varieties of scenes enhanced by LLM’s understanding, showcasing how our VR system can support complex, realistic interactions without additional manual design or annotation.

关键词： Solid modeling Interpolation Three-dimensional displays Computational modeling Large language models Pipelines virtual reality Production User interfaces Rendering (computer graphics)

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THREE-dIMENSIONAL reconstruction OF SINGLE BUBBLE SHAPE ANd TRAJECTORY USING dIGITAL IMAGE PROCESSING ANd 3d MOdELING METHOd 29

THREE-DIMENSIONAL RECONSTRUCTION OF SINGLE BUBBLE SHAPE AND ...

引用

2022 29th International conference on Nuclear Engineering, ICONE 2022

作者： Zhang, Heng Liu, Bo Hang, Qin Lyu, Xue Liu, Jinchao College of Computer Science Technology Chongqing University of Posts and Telecommunications Chongqing China Simulation Technology Co. Ltd China

ISBN: (纸本)9780791886434

Plate type fuel element is widely used in integral and test reactor cores with the advantages of higher power density, deeper fuel burnup and more compact structure. In the semi-closed narrow gap rectangular channel, physics-structure coupling effect under low pressure condition will lead to very complex coolant flow and heat transfer phenomena. Knowledges of the bubble movement and deformation regime are important for studying the mechanism of gas–liquid two-phase flow. In this work, a visual experimental investigation was carried out for the bubble rising characteristics and bubble three-dimensional(3d) reconstruction in a rectangular channel. The process of the bubbles motion was observed by two vertically placed high-speed cameras. By controlling the power of the oxygen pump and the aperture of the air outlet respectively, the rate of bubble formation can be controlled, which eliminated the effects of bubble-to-bubble interactions by increasing the distance between the bubbles. Based on the extracted parameters obtained by digital image processing and assumption that each cross section along the height of bubble to be an ellipse, a new method for reconstructing bubble shape was proposed, using 3d modeling method which can more closely simulates objects to connect bubble elliptic cross sections smoothly under the condition that the cross sections of bubble were not changed as much as possible. Then the bubble shape and trajectory were reconstructed. The results showed that the 3d trajectory of bubble was oscillating and the reconstructed bubble shape not only conformed to the projected contour but also satisfied the effect of surface tension which lead to smooth shape of the bubbles in any time. Copyright © 2022 by ASME.

关键词： Image reconstruction

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Research and Implementation of 3d visualization Technology Based on GIM Model

Research and Implementation of 3D Visualization Technology B...

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Power Electronics, Computer Applications (ICPECA), IEEE International conference on

作者： Su Zhang Yaping Zhang Lizhong Qi Xiaohu Sun State Grid Economic and Technological Research Institute Co. LTD Beijing China

In this paper, GIM model / 3d display, virtual reality and information integration technology is combined to put forward a four-layer framework of urban power grid 3d spatial visualization information platform. Through data analysis, parameter modeling, model assembly, model optimization and attribute warehousing, the system converts GIM model into a general standard 3d model file FBX, which reduces the data amount of the model to a large extent. The reconstruction and optimization of GIM model are realized. The platform integrates engineering information, geographic information, digital models and documents throughout the whole process of engineering construction to complete the application of three-dimensional digital handover. Finally, the application of 3d model in the secondary system simulation analysis, online monitoring and fault diagnosis is realized with the actual 220kV smart substation as the pilot. The simulation results show that this technology can effectively improve the efficiency of three-dimensional design, operation and maintenance of secondary system.

关键词： Solid modeling Analytical models visualization Three-dimensional displays Computational modeling Warehousing data visualization

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Surface reconstruction algorithm of 3d scene image based on virtual Reality Technology 21

Surface reconstruction algorithm of 3D scene image based on ...

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5th International conference on Electronic Information Technology and Computer Engineering, EITCE 2021

作者： Ge, Yingying Jilin Animation Institute Changchun China

ISBN: (纸本)9781450384322

Aiming at the practical problems of traditional 3d scene image surface reconstruction, such as low matching accuracy and complex calculation, a 3d scene image surface reconstruction algorithm based on virtual reality technology is proposed. Wavelet decomposition is used to process the image texture information, quantify the encoded image, take the distance between visual points and image as the measurement value, select the appropriate critical value to complete the image compression, and eliminate the redundant data of 3d scene image;Calculate the heuristic information in the image, update the pheromone matrix, use the critical value of the pheromone matrix to determine whether the pixel is the image edge point, and extract the edge information of the 3d scene image;The virtual reality equipment is used to calculate the minimum recognition distance of 3d scene, calculate the deviation between the theoretical image projection value and the actual projection value, calibrate the image surface reconstruction pixel value through the deviation value, and complete the high-precision 3d scene image surface reconstruction target. Simulation results show that the proposed method can effectively capture the key features in 3d scene images, and the reconstructed image resolution is significantly improved. © 2021 ACM.

关键词： Wavelet decomposition

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3d Fire Front reconstruction Based on Multi-View Observation and complex Uncertainty Model 11

3D Fire Front Reconstruction Based on Multi-View Observation...

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11th International conference on Advanced Computer Information Technologies, ACIT 2021

作者： Sherstjuk, Volodymyr Zharikova, Maryna dorovskaja, Irina Chornyi, dmytro Gusev, Victor Sokol, Igor Kherson National Technical University Department of Software Tools and Technologies Kherson Ukraine Kherson State Maritime Academy Maritime College Kherson Ukraine

This work presents a novel method of 3d reconstruction of the forest fire front in the tactical forest fire monitoring system based on uncertain multi-view observations. The proposed method uses the hierarchical virtual boxes structure instead of the discretized spatial model that allows us to exclude iterative "heavy"geo-localization and geo-rectification processes from the pre-processing stage. The fire front representation is based on the complex uncertainty model that allows us to smooth the effects of distortions, interferences, and noises. The complex uncertainty model is based on the simultaneous use of the fuzzy, rough, level soft sets as well as grey numbers. It takes into account the dynamics of the fire front spreading and provides a proper visual picture of the reconstructed 3d model of the forest fire. The proposed solutions provide an opportunity to speed up the fire front reconstruction process and improve the quality of visualization for the decision-maker allowing him to focus on a stable core of the process and reducing the impact of distortions and interferences. The developed method provides sufficient performance to fulfill the requirements of real-time forest fire response operations. © 2021 IEEE.

关键词： Fires

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reconstruction of a Hidden Page from Segmented Contours Using deep Learning

Reconstruction of a Hidden Page from Segmented Contours Usin...

引用

IEEE WIC ACM International conference on Web Intelligence (WI)

作者： Shunke Zhou Quanli Pei School of Information Technology York University Toronto Canada

ISBN: (数字)9798331504946

ISBN: (纸本)9798331504953

Historical documents are always too fragile to be opened, so the contents should be extracted carefully with less physical damage to the books. The significant improvements in X-ray scanning have made it possible to digitize and “virtual” these documents. A new technology involving a bunch of 3d X-ray images could help recognize the inner surfaces and create visualizations of written content [1]. The problem is extracting the book contents but avoiding opening them directly. This project aims to visualize the complete contents without secondary damage by using a CT scan to capture contour information and restructure the 3d surfaces of the books. This research will extract the edge or contour information from the segmentation stage and reconstruct 3d surfaces representing the book's individual pages. Once the pages have been reconstructed, text or image information will be mapped onto the surface of each page. This project aims to develop a computational framework for recovering surfaces from curves. The framework of this research provides a new technology for historians to better study historical books and protect the sealed books simultaneously. This study is very helpful for studying historical documents as it is a better way to extract contents from historical books with as little damage as possible than previous technologies.

关键词： Support vector machines Surface reconstruction Image segmentation Three-dimensional displays Image edge detection data visualization Estimation Intelligent agents Image reconstruction X-ray imaging

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3d Residential reconstruction from a Single Indoor Floor Plan

3D Residential Reconstruction from a Single Indoor Floor Pla...

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IEEE International conference on Robotics and Biomimetics

作者： Ze Zhang Xiaojun Wu Yunhui Liu School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Shenzhen China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China

3d residential reconstruction plays a crucial role in various fields, such as architecture, interior design, virtual reality, and robot navigation. While existing methods typically rely on complex data acquisition setups or multiple images, we proposed a novel method for 3d residential reconstruction from a single indoor floor plan. By leveraging the information encoded in an indoor floor plan, our proposed method utilizes traditional and deep-learning-based computer vision techniques to reconstruct the corresponding 3d residential model accurately. Image classification based on deep learning is applied for calculating the scale, and semantic segmentation based on deep learning is employed for extracting walls, doors and windows. By analyzing the complex geometric relationship of skeleton curves, the vectorized representation of the building structure is obtained. An accurate 3d residential model is eventually reconstructed by synthesizing all the obtained information.

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Review of 3d Scene reconstruction: From Traditional Methods to Advanced deep Learning Models

Review of 3D Scene Reconstruction: From Traditional Methods ...

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Embedded Systems and Artificial Intelligence (ESAI), International conference on

作者： Maryem Belkaid El Arbi Abdellaoui Alaoui Mostafa Merras Achraf Berrajaa Nabil El Akkad IMAGE laboratory EST Moulay Ismail University Meknes Morocco Department of Science ENS Moulay Ismail University Meknes Morocco Department of Computer Science Faculty of Sciences University Mohamed First Oujda Morocco Department of Science ENSA Sidi Mohamed Ben Abdellah University Fez Morocco

ISBN: (数字)9798331522056

ISBN: (纸本)9798331522063

3d scene reconstruction represents a pivotal domain within computer vision, involving a diverse array of techniques ranging from classical geometry-driven approaches to modern deep learning-based models. This review article offers an extensive summary of cutting-edge methods for 3d reconstruction, including techniques such as Structure-from-Motion (SfM) and Multi-View Stereo (MVS), as well as cutting-edge deep learning techniques including CNNs, GANs,Variational Autoencoders (VAEs) and Neural Radiance Fields (NeRF). We analyze the strengths and limitations of each approach, particularly in terms of accuracy, efficiency, generalization, and their ability to handle complex scenes. Furthermore, we delve into the key challenges faced in 3d scene reconstruction, including the trade-offs between computational efficiency and model accuracy, the generalization to diverse environments, and the integration of multi-modal data sources. Special attention is given to NeRF, a breakthrough in the field, discussing its current capabilities and potential areas for improvement in future research. This review aims to serve as a resource for researchers and practitioners by summarizing the current landscape of 3d reconstruction technologies and identifying promising directions for future exploration.

关键词： Solid modeling Technological innovation Three-dimensional displays Accuracy Reviews Computational modeling Autoencoders virtual reality Neural radiance field Artificial intelligence

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AR-Based Surgical Navigation System Based on dual Plane Calibration and 2d/3d Registration 9

AR-Based Surgical Navigation System Based on Dual Plane Cali...

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9th International conference on virtual Reality, ICVR 2023

作者： Yin, Li Fu, Hang Yang, demin Fan, Xingqi Tu, Puxun Chen, Xiaojun Shanghai Jiao Tong University Institute of Biomedical Manufacturing and Life Quality Engineering School of Mechanical Engineering Shanghai China

ISBN: (纸本)9798350345810

Surgical procedures are often associated with a range of potential risks, including nerve tissue damage resulting from complex lesion structures, narrow surgical spaces, or the low accuracy of the operating surgeon. The rise of augmented reality technology has attracted wide attention in the field of complementary medicine. The safe and low delay augmented-reality assisted surgery system can effectively guide the accurate operation. At the same time, augmented reality technology can make surgical sites more intuitive. In this work, we propose a novel surgical operating system that leverages coordinate system transformation and optical navigation to improve precision and safety. Our approach involves the integration of medical images and optical tracking devices before and during surgery to achieve coordinate transformation between the patient's position, surgical instruments, and the pre-surgery CT scan. This process involves calibration, registration, and other critical procedures. At the same time, the study also introduced the function of augmented reality. doctors wearing augmented reality glasses can use the system to see more vivid scenes of surgery. during the calibration phase, we utilize biplanar and interpolation algorithms to obtain the conversion relationship between the C-arm emission source and the X-ray image coordinate system. In the registration stage, we convert the preoperative 3d CT into a dRR image using digital reconstruction image technology, which we then register with the 2d X-ray during the operation. To optimize the iteration, we employ the improved Powell algorithm. The algorithm demonstrates an average angle and position error of 0.62° and 0.56mm, respectively. Through the transformation of spatial position relationship, the transformation relationship between preoperative CT and intraoperative patient position was obtained. A user-friendly, integrated software system has been developed that allows users to view the relative relationship

关键词： Augmented reality

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