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检索条件"任意字段=Conference on 3D Virtual Reconstruction and Visualization of Complex Architectures"

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Three dimensional Modeling Fractured Bone reconstruction Using CT Scan Images 2nd

Three Dimensional Modeling Fractured Bone Reconstruction Usi...

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2nd International conference on Experimental and Computational Mechanics in Engineering, ICECME 2020

作者： Irwansyah Asbar Bintara, Redyarsa d. Lai, Jiing-Yih Lee, Pei-Yuan Department of Mechanical Engineering Universitas Syiah Kuala Banda Aceh Indonesia Department of Mechanical Engineering Universitas Negeri Malang Malang Indonesia Department of Mechanical Engineering National Central University Taoyuan Taiwan Orthopedic Department Show Chwan Memorial Hospital Changhua Taiwan

ISBN: (纸本)9789811607356

The medical three-dimensional model currently uses as an invaluable source of information to enhance clinicians in preoperative surgical planning. The favourable computer-aided design tool applied to improve the visualization quality of the medical model. In this study, the virtual reconstruction of proximal femur fractures with multi fragments was included. The mesh correction and smoothing algorithm also performed. The aim study is to analyze each step of the visualization digital model and their aspects that affect the accuracy and reproducibility. It found the complex fracture model took longer to reconstruct the virtual model. The beneficial approaches described in this study are not just limited to orthopaedic case, but also for many other fields of medicine. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Point Cloud Upsampling and Normal Estimation using deep Learning for Robust Surface reconstruction 16

Point Cloud Upsampling and Normal Estimation using Deep Lear...

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16th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 16th International conference on Computer Vision Theory and Applications (VISAPP)

作者： Sharma, Rajat Schwandt, Tobias Kunert, Christian Urban, Steffen Broll, Wolfgang Ilmenau Univ Technol Virtual Worlds & Digital Games Grp Ehrenbergstr 29 Ilmenau Germany Carl Zeiss Corp Res & Technol Carl Zeiss Promenade 10 Jena Germany

ISBN: (纸本)9789897584886

The reconstruction of real-world surfaces is on high demand in various applications. Most existing reconstruction approaches apply 3d scanners for creating point clouds which are generally sparse and of low density. These points clouds will be triangulated and used for visualization in combination with surface normals estimated by geometrical approaches. However, the quality of the reconstruction depends on the density of the point cloud and the estimation of the surface normals. In this paper, we present a novel deep learning architecture for point cloud upsampling that enables subsequent stable and smooth surface reconstruction. A noisy point cloud of low density with corresponding point normals is used to estimate a point cloud with higher density and appendant point normals. To this end, we propose a compound loss function that encourages the network to estimate points that lie on a surface including normals accurately predicting the orientation of the surface. Our results show the benefit of estimating normals together with point positions. The resulting point cloud is smoother, more complete, and the final surface reconstruction is much closer to ground truth.

关键词： Point Cloud Upsampling Surface Normal Estimation Surface reconstruction deep Learning

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Vector Neurons: A General Framework for SO(3)-Equivariant Networks 18

Vector Neurons: A General Framework for SO(3)-Equivariant Ne...

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18th IEEE/CVF International conference on Computer Vision (ICCV)

作者： deng, Congyue Litany, Or duan, Yueqi Poulenard, Adrien Tagliasacchi, Andrea Guibas, Leonidas Stanford Univ Stanford CA 94305 USA NVIDIA Santa Clara CA USA Google Res Cambridge MA USA Univ Toronto Toronto ON Canada

ISBN: (纸本)9781665428125

Invariance and equivariance to the rotation group have been widely discussed in the 3d deep learning community for pointclouds. Yet most proposed methods either use complex mathematical tools that may limit their accessibility, or are tied to specific input data types and network architectures. In this paper, we introduce a general framework built on top of what we call Vector Neuron representations for creating SO(3)-equivariant neural networks for point-cloud processing. Extending neurons from 1d scalars to 3d vectors, our vector neurons enable a simple mapping of SO(3) actions to latent spaces thereby providing a framework for building equivariance in common neural operations - including linear layers, non-linearities, pooling, and normalizations. due to their simplicity, vector neurons are versatile and, as we demonstrate, can be incorporated into diverse network architecture backbones, allowing them to process geometry inputs in arbitrary poses. despite its simplicity, our method performs comparably well in accuracy and generalization with other more complex and specialized state-of-the-art methods on classification and segmentation tasks. We also show for the first time a rotation equivariant reconstruction network. Source code is available at https://***/FlyingGiraffe/vnn.

关键词： Vectors

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Knowledge-distillation-based Lightweight virtual Try-On Network

Knowledge-Distillation-based Lightweight Virtual Try-On Netw...

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Image Processing, Computer Vision and Machine Learning (ICICML), International conference on

作者： Lei Xu Zhan Gao Heng Zhu Information Science and Technology School Nantong University Nantong China

As a popular research direction in deep learning in recent years, virtual try-on technology has gained more acceptance through 2d image-based methods due to their lower cost and time requirements compared to their 3d virtual try-on counterparts. However, existing image-based virtual try-on methods primarily focus on enhancing the quality of the output, resulting in complex network architectures with numerous parameters. This requires high computational power and storage costs, which hinders their development in real-time application domains. This paper presents a lightweight virtual try-on method that integrates inverted residual and knowledge distillation techniques. The architecture comprises a teacher network and a student network. The teacher network plays a crucial role in providing guidance and employs knowledge distillation to instruct the student network. The student network, which does not rely on human body representation, utilizes a style-based generative adversarial network to achieve clothing deformation. In the student network, inverted residual blocks are integrated to generate realistic try-on images. The experimental results demonstrate that our proposed method achieves a low computational cost and short runtime, while still maintaining high-quality try-on results.

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Research on dynamic Simulation Technology of Urban 3d Landscape Based on virtual Reality APP Platform

Research on Dynamic Simulation Technology of Urban 3D Landsc...

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Networking, Communications and Information Technology (NetCIT), International conference on

作者： Lanjian Zeng Jiangxi university of Applied Science Nanchang Jiangxi China

Urban planning is a very important work in urban management, which involves almost all fields such as land, electricity, water conservancy, landscaping, environmental protection and so on. With the rapid development of spatial information technology, urban planning and geographic information technology have become inseparable, and the traditional two-dimensional geographic information technology can no longer meet the development needs of current urban planning. With the rise of “digital city”, urban 3d landscape reconstruction and 3d visualization are becoming the focus of current geographic information system research, which is of great significance to optimizing urban planning and management. With the development of geographic information system and related digital technologies, the traditional two-dimensional urban geographic information system can no longer meet the application requirements, and the three-dimensional digital city has become an important means in the process of urban planning and management. The method adopted in this paper is the virtual reality APP platform. The realization of this system platform can not only provide users with a more vivid, intuitive and detailed experimental environment for teaching or production; Promotion and application of science and technology.

关键词： Solid modeling visualization Three-dimensional displays Urban planning virtual reality Water conservation Task analysis

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A Smart-Site-Survey System using Image-based 3d Metric reconstruction and Interactive Panorama visualization 20

A Smart-Site-Survey System using Image-based 3D Metric Recon...

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28th ACM International conference on Multimedia (MM)

作者： Yu, Sha McGuinness, Kevin Moore, Patricia Azcona, david O'Connor, Noel Dublin City Univ SFI Insight Ctr Data Analyt Dublin Ireland

ISBN: (纸本)9781450379885

This work presents a so-called Smart Site Survey (SSS) system that provides an efficient, web-based platform for virtual inspection of remote sites with absolute 3d metrics. Traditional manual surveying requires sending surveyors and specialised measuring tools to the targeted scene, which takes time and requires significant human resource, and often includes human error. The proposed system provides an automated site survey tool. Sample indoor scenes including offices, storage rooms, and laboratory are used for testing purposes, and highly precise virtual scenes are restored, with the measurement accuracy of 1%, i.e. an error +/- 1.5cm to a 150cm length. This is comparable or superior to existing works or commercial products.

关键词： virtual site survey metric 3d reconstruction image-based 3d reconstruction panorama visualization image stitching

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Fast, accurate, and automated 3d reconstruction using a depth camera mounted on an industrial robot 41

Fast, accurate, and automated 3D reconstruction using a dept...

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41st Computers and Information in Engineering conference, CIE 2021, Held as Part of the ASME 2021 International design Engineering Technical conferences and Computers and Information in Engineering conference, IdETC-CIE 2021

作者： Malhan, Rishi Joseph, Rex Jomy Bhatt, Prahar M. Shah, Brual Gupta, Satyandra K. Center for Advanced Manufacturing University of Southern California Los AngelesCA90007 United States

ISBN: (纸本)9780791885376

3d reconstruction technology is used in a wide variety of applications. Currently, automatically creating accurate pointclouds for large parts requires expensive hardware. We are interested in using low-cost depth cameras mounted on commonly available industrial robots to create accurate pointclouds for large parts automatically. Manufacturing applications require fast cycle times. Therefore, we are interested in speeding up the 3d reconstruction process. We present algorithmic advances in 3d reconstruction that achieve a sub-millimeter accuracy using a low-cost depth camera. Our system can be used to determine a pointcloud model of large and complex parts. Advances in camera calibration, cycle time reduction for pointcloud capturing, and uncertainty estimation are made in this work. We continuously capture pointclouds at an optimal camera location with respect to part distance during robot motion execution. The redundancy in pointclouds achieved by the moving camera significantly reduces errors in measurements without increasing cycle time. Our system produces sub-millimeter accuracy. Copyright © 2021 by ASME

关键词： Industrial robots

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Improved ORB-SLAM Based 3d dense reconstruction for Monocular Endoscopic Image

Improved ORB-SLAM Based 3D Dense Reconstruction for Monocula...

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2020 International conference on virtual Reality and visualization, ICVRV 2020

作者： Chen, Weishan Liao, Xiangyun Sun, Yinzi Wang, Qiong School of Information Engineering Wuhan University of Technology Wuhan China Shenzhen Key Lab. of Virtual Reality and Hum. Intrac. Technol. Shenzhen Inst. of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9780738142524

Monocular visual simultaneous localization and mapping (SLAM) performs effectively in camera pose estimation and 3d sparse reconstruction of natural scenes. However, in monocular endoscopic environment, serious distortion of the images and the inconstant illumination, even the lack of surface texture, make SLAM-based tracking and 3d dense reconstruction still a challenge. In response to the above problems, it is proposed to use local features to match adjacent frames in ORB-SLAM system for the endoscopic poses estimation and keyframes selection, then combined with the probabilistic monocular stereo technology to calculate the dense depth map from keyframes, and finally complete the 3d dense reconstruction of the endoscopic scene. The experimental results proved that this method can track the endoscope robustly and reconstruct a 3d point cloud with high density and smoothness. © 2020 IEEE.

关键词： Endoscopy

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Generation of 3d Terrain Surfaces from Satellite Images 1st

Generation of 3D Terrain Surfaces from Satellite Images

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1st International conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021

作者： Ponce Atencio, Yalmar Espinoza Montes, Francisco Ortiz Guizado, Iraida Huamán Carrion, Mary Luz Porras diaz, Noemi Universidad Nacional José María Arguedas Andahuaylas Apurímac Peru Universidad Nacional del Centro del Perú Huancayo Junín Peru

ISBN: (纸本)9783030902407

The reconstruction of three-dimensional (3d) models of terrain is important in many applications mainly for photorealistic visualizations of virtual natural environments, ranging from the representation of a landscape, to doing analysis and monitoring of coverage, or land use. In addition, could also is used for the management and planning of the territory. The 3d modeling of territories or land is very important since many applications requires of this element and getting a three-dimensional digital model of the surface of some land, which is could be reliable and accurate, and that allows to be viewed interactively certainly help many users. In this context, to date, there are few tools that facilitate this task, among them the most used are ArcGIS, Google® Maps and Google® Earth, however, for this purpose, these tools are available online and works entirely on its environment. The main objective of this work is to get digital terrain models to carry out simulations, visualization for monitoring and also the possibility of a photorealistic representation, thus, we could even think of representing the entire world in a virtual navigation environment, supporting simulations with representation of objects of different types, from small rocks, plants, bushes, streams, ponds, rivers, lakes, mountains and other attributes that we can find in real terrain. As preliminary results, this research work shows some techniques and tools that can be used for the reconstruction of land that are often necessary to use them in our own applications and combine them with other elements to achieve the main objective. © 2021, Springer Nature Switzerland AG.

关键词： visualization

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virtual reconstruction the lost fortifications of the XIII-XVIII centuries on the north-eastern coast of black sea region 13th

Virtual reconstruction the lost fortifications of the XIII-X...

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13th International Scientific conference on Architecture and Construction, 2020, which is dedicated to the 90th anniversary of Novosibirsk State University of Architecture and Civil Engineering

作者： Soina, Natalya Ievleva, Olga Academy of Architecture and Fine Arts of Southern Federal University 39 Budennovsky Ave Rostov-on-Don344082 Russia

ISBN: (纸本)9789813362079

Today, there are great opportunities for replenishing information about the historical past in the field of architecture. In historical and architectural studies, IT-technologies play an important role as a ‘tool for restoration’ of lost or destroyed monuments of architecture and culture. Of considerable interest is the creation of 3d models of objects of the Middle Ages, which was the peak of the construction of both palaces and fortified structures of various types. Such models allow not only virtual restoration of the appearance of the lost structures in the form of a computer model, but also recreation of the environment in which the historical and architectural object was located using visualization tools. The creation of such models is carried out on the basis of a thorough study of all information available in archives and other sources. The paper examines the techniques of virtual reconstruction used for the restoration of historical and architectural monuments of cultural heritage both by domestic and foreign experts. The process of the virtual reconstruction of fortifications carried out by the authors, which have the status of ‘lost’ or ‘ruins’ and were located on the territory of the North-Eastern Black Sea region in the XIII-XVIII centuries, is described in detail. Examples of fragments of a virtual reconstruction of the Sujuk-Kale medieval fortress located on the territory of the modern city of Novorossiysk, Krasnodar Territory, Russian Federation in the XVI century are given. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Restoration

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