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

共 1546 条记录，以下是221-230 订阅

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MICROPHONE ALIGNEd CONTINUOUS WEARABLE dEVICE-RELATEd TRANSFER FUNCTION: EFFICIENT MOdELING ANd MEASUREMENTS 49

MICROPHONE ALIGNED CONTINUOUS WEARABLE DEVICE-RELATED TRANSF...

引用

49th IEEE International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Manamperi, Wageesha N. Abhayapala, Thushara d. Holmberg, Paul Australian Natl Univ Audio & Acoust Signal Proc Grp Canberra ACT Australia Dolby Labs Audio Capture Team Sydney NSW Australia

ISBN: (纸本)9798350374520;9798350374513

With the recent emergence of virtual reality, augmented reality, and mixed-reality technologies, considerable attention has been received to integrate spatial audio recording capabilities into these devices. Extracting higher order spherical harmonics from the recordings is not always possible due to complex scattering effects from the arbitrary-shaped devices, which motivates the need for modeling the acoustic properties beyond free-field convention. In this paper, we propose modeling the wearable device-related transfer function (WdRTF) that incorporates scattering, and diffraction from the device and wearer's body to an incident soundfield. We adopt the spherical wave model to translate the measurements into microphone alignment, by exploiting both magnitude and phase corrections. We use a discrete set of measurements by multiple circular arrays for efficiently estimating the WdRTF coefficients. We illustrate the WdRTF modeling procedure from a head-worn microphone array and obtain accurate reconstruction performance over frequency and 3d directions.

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virtualization for Knowledge and Protection: The Case of an Early Medieval Church 5th

Virtualization for Knowledge and Protection: The Case of an ...

引用

5th International conference on Protection of Historical Constructions-PROHITECH

作者： Babilio, Enrico Rapuano, Silvana Univ Naples Federico II Dept Struct Engn & Architecture DiSt Via Forno Vecchio 36 I-80134 Naples Italy Univ Campania Luigi Vanvitelli Dept Literature & Cultural Heritage DiLBeC Via Raffaele Perla 21 I-81055 Santa Maria Capua Vetere CE Italy

ISBN: (纸本)9783031873188;9783031873164;9783031873157

The present paper belongs to a research focusing on the early medieval church of Santa Sofia, located in Benevento, southern Italy. The work, in general, involved methods typical of both the humanities and mathematical engineering. This contribution gives some details about the church and the methodology used to analyze and virtualize its main phases. Then, attention is given to discussing the approach used to reconstruct the complex vaulting system of the church. Using Coons patches that are based on Hermite cubics, a remapping strategy was considered to maintain control of all terms appearing in the approximation. The obtained surfaces were inserted in the virtual solid models of the church. It must be emphasized that solid modeling of artifacts of archeological interest requires that information from different sources, i.e., geometric and architectural data with archeological and archival findings, are merged together. It is indeed mandatory to adopt an archeologically meaningful methodology to assess the reliability of the virtual reconstructions.

关键词： Santa Sofia in Benevento virtualization surface reconstruction 3d modeling laser scanner survey

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3d reconstruction based on monocular image sequences 6

3D reconstruction based on monocular image sequences

引用

6th International conference on Electronic Information Technology and Computer Engineering, EITCE 2022

作者： dai, Shuo Nai, Changxin Wang, Peiyun School of Information and Electronic Engineering Shandong Technology and Business University YanTai China Technology Co. Tian Jin China

ISBN: (纸本)9781450397148

Aiming at the complex operation of active 3d reconstruction technology, which is easily affected by external environment and equipment, this paper adopts a series of monocular image sequences taken by cell phone cameras from different angles to realize 3d scene reconstruction. Firstly, Structure-From-Motion (SFM) algorithm is used for sparse point cloud reconstruction, and the similarities and differences between incremental and global SFM algorithms for sparse reconstruction are compared;secondly, Multi-View-Stereo (MVS) is used for dense point cloud reconstruction, and finally, the surface and texture information of the object is recovered. The surface and texture information of the objects are recovered to achieve the reconstruction of 3d scenes. The experimental results show that the method can achieve better 3d reconstruction of monocular image sequences. © 2022 Association for Computing Machinery.

关键词： Textures

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Analyse the Shape and Texture of 3d Generative Faces

Analyse the Shape and Texture of 3D Generative Faces

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Advances in Computing, Communication and Networking (ICAC2N), International conference on

作者： Kriti Gupta Meenu Gupta Rakesh Kumar Ahmed J. Obaid Department of CSE Chandigarh University Mohali India Faculty of Computer Science and Mathematics University of Kufa Najaf Iraq College of Techincal Engineering National University of Science and Technology Dhi Qar Iraq

ISBN: (数字)9798350356816

ISBN: (纸本)9798350356823

Research on 3d face modeling has been ongoing in the fields of Computer Vision (CV) and Computer Graphics (CG), supporting applications ranging from the creation of synthetic data to the transfer of facial expressions in virtual avatars. This work introduces a framework for 3d face generation that separates identity from expression elements to give fine control over facial expressions. The model generates high-fidelity 3d faces with remarkable appearance and shape by combining the Wasserstein Generative Adversarial Network (WGAN) and Supervised Auto-Encoder (SAE) architectures. In particular, texture synthesis is performed using the Progressive Growing of GANs (ProGAN) technique, and shape formation is made possible by the SAE architecture, which allows for the capture of complex facial traits. The model may provide reconstructions with more realism while maintaining fine-grained features and overall structure because to the fusion of WGAN and VAE. The suggested method is evaluated using both quantitative and qualitative methods. Metric standard deviation are used for the quantitative analysis, while visual examination of the rebuilt faces is used for the qualitative analysis. The outcomes of the experiments show that the suggested approach performs better in creating realistically shaped and texture 3d face reconstructions.

关键词： Solid modeling visualization Three-dimensional displays Shape Statistical analysis Computational modeling Computer architecture Faces Image reconstruction Synthetic data

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Multi-view Based 3d Point Cloud Completion Algorithm for Vehicles 26

Multi-view Based 3D Point Cloud Completion Algorithm for Veh...

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26th International conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA)

作者： Ibrahim, Yahya Nagy, Balazs Benedek, Csaba Peter Pazmany Catholic Univ Fac Informat Technol & Bion Budapest Hungary Inst Comp Sci & Control SZTAKI Budapest Hungary

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

3d vehicle shape completion is a key task in urban environment reconstruction, since the available sensors and 3d scanning procedures (such as Mobile Laser Scanning) in an outdoor city scene cannot usually extract the entire car shapes, which can be necessary for specifying their geometric properties for further analysis or realistic visualization. In this paper, we propose a novel multi-view based 3d object point cloud completion technique. In contrast to existing approaches, our method operates on 2d images formed by projecting the point cloud from several virtual camera positions around the object of interest. Both color and geometrical information is considered during the process, generating dense textured point clouds, displaying realistic patterns in the missing regions from the partial inputs. We present both quantitative and qualitative tests on various synthetic and real laser scanned vehicle point clouds, which demonstrate that our method surpasses existing state-of-the-art approaches. By applying it to vehicles from the Shapenet dataset, our approach outperforms recent techniques in terms of Earth Mover's distance (EMd) and Chamfer distance (Cd) by 43.8% and 12.17%, respectively.

关键词： Point cloud compression visualization Three-dimensional displays Shape Urban areas Lasers Sensors

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Knowledge-distillation-based Lightweight virtual Try-On Network 2

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

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2nd International conference on Image Processing, Computer Vision and Machine Learning, ICICML 2023

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

ISBN: (纸本)9798350331417

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. © 2023 IEEE.

关键词： inverted residual block knowledge-distillation style-based generative adversarial network

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High-Quality 3d Face reconstruction with Affine Convolutional Networks 22

High-Quality 3D Face Reconstruction with Affine Convolutiona...

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30th ACM International conference on Multimedia (MM)

作者： Lin, Zhigian Lin, Jiangke Li, Lincheng Yuan, Yi Zou, Zhengxia Zhejiang Univ Hangzhou Peoples R China NetEase Fuxi AI Lab Guangzhou Peoples R China Beihang Univ Beijing Peoples R China

ISBN: (纸本)9781450392037

Recent works based on convolutional encoder-decoder architecture and 3dMM parameterization have shown great potential for canonical view reconstruction from a single input image. Conventional CNN architectures benefit from exploiting the spatial correspondence between the input and output pixels. However, in 3d face reconstruction, the spatial misalignment between the input image (e.g. face) and the canonical/UV output makes the feature encoding-decoding process quite challenging. In this paper, to tackle this problem, we propose a new network architecture, namely the Affine Convolution Networks, which enables CNN based approaches to handle spatially non-corresponding input and output images and maintain high-fidelity quality output at the same time. In our method, an affine transformation matrix is learned from the affine convolution layer for each spatial location of the feature maps. In addition, we represent 3d human heads in UV space with multiple components, including diffuse maps for texture representation, position maps for geometry representation, and light maps for recovering more complex lighting conditions in the real world. All the components can be trained without any manual annotations. Our method is parametric-free and can generate high-quality UV maps at resolution of 512 x 512 pixels, while previous approaches normally generate 256 x 256 pixels or smaller. Our code will be released once the paper got accepted.

关键词： high-quality 3d face reconstruction affine convolution layer representing in UV space differentiable rendering

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A Survey of Text-guided 3d Face reconstruction

A Survey of Text-guided 3D Face Reconstruction

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Image Processing and Media Computing (ICIPMC), International conference on

作者： Mengyue Cen Haoran Shen Wangyan Zhao dingcheng Pan Xiaoyi Feng Northwestern Polytechnical University Xi’an China

ISBN: (数字)9798350386660

ISBN: (纸本)9798350386677

Text-guided 3d face reconstruction is an emerging field that leverages artificial intelligence to generate detailed and animatable 3d facial models from textual descriptions. This technology holds promise for revolutionizing digital content creation, avatar design, and virtual interaction by allowing users to convert textual imaginations into realistic 3d representations. This survey paper provides a comprehensive overview of the state-of-the-art methods in text-guided 3d face reconstruction, including ClipFace, dreamFace, TG-3dFace, and E3-FaceNet. We discuss their unique features, advantages, limitations, and the innovative techniques they employ to bridge the gap between natural language and 3d visual space. We also highlight the challenges that remain, such as achieving high fidelity and efficiency in the rendering process, and the potential for future advancements in this domain.

关键词： Surveys Solid modeling visualization Three-dimensional displays Computational modeling Natural languages Transforms

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Unsupervised Lightweight Face 3d reconstruction From a Single Uncalibrated Image 22

Unsupervised Lightweight Face 3D Reconstruction From a Singl...

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6th International conference on digital Signal Processing, ICdSP 2022

作者： Shi, Yuhang Jin, Hua Tao, dapeng Fist Lab School of Information Science and Engineering Yunnan University Kunming Yunnan China The Affiliated Hospital of Kunming University of Science and Technology China

ISBN: (纸本)9781450395809

Reconstruct 3d model from 2d image is an important task in the field of deep learning, which aims to make computers have the ability to perceive the 3d world like human-beings. In this paper, a lightweight method is proposed for 3d face reconstruction from a single image without any supervision. Specifically, our method employs encoder-decoder architectures to extract depth map, light condition, transformation matrix and albedo from input image. According to the principle of rendering, we can obtain the connection between 2d image coordinates and 3d model vertices coordinates, using the above elements, we can get the projection image of the reconstructed model. Then the reconstruction loss can be used to optimize the network parameters. Experiments show that our method surpasses the previous work in reconstruction speed and the size of model. © 2022 ACM.

关键词： Image reconstruction

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Radiance Fields for Robotic Teleoperation

Radiance Fields for Robotic Teleoperation

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IEEE/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Maximum Wilder-Smith Vaishakh Patil Marco Hutter Robotic Systems Lab ETH Zurich

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Radiance field methods such as Neural Radiance Fields (NeRFs) or 3d Gaussian Splatting (3dGS), have revo-lutionized graphics and novel view synthesis. Their ability to synthesize new viewpoints with photo-realistic quality, as well as capture complex volumetric and specular scenes, makes them an ideal visualization for robotic teleoperation setups. direct camera teleoperation provides high-fidelity operation at the cost of maneuverability, while reconstruction-based approaches offer controllable scenes with lower fidelity. With this in mind, we propose replacing the traditional reconstruction-visualization components of the robotic teleoperation pipeline with online Radiance Fields, offering highly maneuverable scenes with photorealistic quality. As such, there are three main contributions to state of the art: (1) online training of Radiance Fields using live data from multiple cameras, (2) support for a variety of radiance methods including NeRF and 3dGS, (3) visualization suite for these methods including a virtual reality scene. To enable seamless integration with existing setups, these components were tested with multiple robots in multiple configurations and were displayed using traditional tools as well as the VR headset. The results across methods and robots were compared quantitatively to a baseline of mesh reconstruction, and a user study was conducted to compare the different visualization methods. The code and additional samples are available at https://***/***/.

关键词： Training Three-dimensional displays Robot vision systems Pipelines virtual reality Cameras Neural radiance field User experience User preference Robots

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