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检索条件"任意字段=Web3D 2006: 11th International Conference on 3D Web Technology"

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3description An Intuitive Human-AI Collaborative 3d Modeling Approach 11

3Description An Intuitive Human-AI Collaborative 3D Modeling...

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11th international conference on digital and Interactive Arts (ARTECH) - digital Creation Processes

作者： Cai, Zhuodi NYU Tisch Sch Arts New York NY 10003 USA

ISBN: (纸本)9798400708725

this paper presents 3description, an experimental human-AI collaborative approach for intuitive 3d modeling. 3description aims to address accessibility and usability challenges in traditional 3d modeling by enabling non-professional individuals to co-create 3d models using verbal and gesture descriptions. through a combination of qualitative research, product analysis, and user testing, 3description integrates AI technologies such as Natural Language Processing and Computer Vision, powered by OpenAI and MediaPipe. Recognizing the web has wide cross-platform capabilities, 3description is web-based, allowing users to describe the desired model and subsequently adjust its components using verbal and gestural inputs. In the era of AI and emerging media, 3description not only contributes to a more inclusive and user-friendly design process, empowering more people to participate in the construction of the future 3d world, but also strives to increase human engagement in co-creation with AI, thereby avoiding undue surrender to technology and preserving human creativity (Figure 1).

关键词： Intuitive 3d Modeling 3d Object description Human-AI Collaboration Multimodal HCI GPT

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2Trax3: Raising Accessibility and Everyday Use of Automatic Motion Analysis in (Combat) Sports via ML Enhanced 2d to 3d Estimation Algorithms 11

2Trax3: Raising Accessibility and Everyday Use of Automatic ...

引用

11th international conference on Sport Sciences Research and technology Support, icSPORTS 2023

作者： duvelek, Samir Hoelbling, dominik Baranyi, Rene Breiteneder, Roland Pinter, Karl Grechenig, thomas Vienna University of Technology Vienna Austria Rise Institute of Technology Andhra Pradesh Sri Sathya Sai District India

ISBN: (纸本)9789897586736

A sound technique forms the fundamental basis for many sports, particularly Martial Arts, as it often distinguishes between successful hits and being hit. However, the process of improving one's technique is highly intricate, often requiring expert feedback and expensive technology such as 3d motion capturing. the integration of automated technique analysis has the potential to streamline this process and make it more accessible. In this study, the aim is to democratize technique analysis by developing and evaluating a web application. this application allows users to upload 2d video recordings of themselves performing the double side kick technique and receive immediate feedback. To validate the analysis generated by the application, it was compared to a Vicon motion app 3d analysis of the same data from a preliminary study involving 44 participants. the results of Bland-Altman plot analysis demonstrated a highly significant agreement between the 3d and 2d performance indicators (Mean differences: relative phase duration: © 2023 by SCITEPRESS – Science and technology Publications, Lda. Under CC license (CC BY-NC-Nd 4.0)

关键词： Sports

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UNI-MOL: A UNIVERSAL 3d MOLECULAR REPRESENTATION LEARNING FRAMEWORK 11

UNI-MOL: A UNIVERSAL 3D MOLECULAR REPRESENTATION LEARNING FR...

引用

11th international conference on Learning Representations, ICLR 2023

作者： Zhou, Gengmo Gao, Zhifeng ding, Qiankun Zheng, Hang Xu, Hongteng Wei, Zhewei Zhang, Linfeng Ke, Guolin Renmin University of China China DP Technology AI for Science Institute Beijing China

Molecular representation learning (MRL) has gained tremendous attention due to its critical role in learning from limited supervised data for applications like drug design. In most MRL methods, molecules are treated as 1d sequential tokens or 2d topology graphs, limiting their ability to incorporate 3d information for downstream tasks and, in particular, making it almost impossible for 3d geometry prediction/generation. In this paper, we propose a universal 3d MRL framework, called Uni-Mol, that significantly enlarges the representation ability and application scope of MRL schemes. Uni-Mol contains two pretrained models with the same SE(3) Transformer architecture: a molecular model pretrained by 209M molecular conformations;a pocket model pretrained by 3M candidate protein pocket data. Besides, Uni-Mol contains several finetuning strategies to apply the pretrained models to various downstream tasks. By properly incorporating 3d information, Uni-Mol outperforms SOTA in 14/15 molecular property prediction tasks. Moreover, Uni-Mol achieves superior performance in 3d spatial tasks, including protein-ligand binding pose prediction, molecular conformation generation, etc. the code, model, and data are made publicly available at https://***/dptech-corp/Uni-Mol. © 2023 11th international conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Proteins

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VR PreM+: An Immersive Pre-learning Branching Visualization System for Museum Tours 11

VR PreM+: An Immersive Pre-learning Branching Visualization ...

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11th international Symposium of Chinese CHI, Chinese CHI 2023

作者： Gao, Ze Li, Xiang Liu, Changkun Wang, Xian Wang, Anqi Yang, Liang Wang, Yuyang Hui, Pan Braud, Tristan Hong Kong University of Science and Technology Hong Kong University of Cambridge Cambridge United Kingdom Guangzhou China

ISBN: (纸本)9798400716454

We present VR PreM+, an innovative VR system designed to enhance web exploration beyond traditional computer screens. Unlike static 2d displays, VR PreM+ leverages 3d environments to create an immersive pre-learning experience. Using keyword-based information retrieval allows users to manage and connect various content sources in a dynamic 3d space, improving communication and data comparison. We conducted preliminary and user studies that demonstrated efficient information retrieval, increased user engagement, and a greater sense of presence. these findings yielded three design guidelines for future VR information systems: display, interaction, and user-centric design. VR PreM+ bridges the gap between traditional web browsing and immersive VR, offering an interactive and comprehensive approach to information acquisition. It holds promise for research, education, and beyond. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Visualization

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How long do you want to maintain this thing? Understanding the Challenges Faced by webXR Creators 21

How long do you want to maintain this thing? Understanding t...

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26th ACM international conference on 3d web technology (web3d)

作者： Zubair, Misbahu Anyameluhor, Nnamdi Univ Cent Lancashire Sch Psychol & Comp Sci Preston Lancs England Sheffield Hallam Univ Dept Comp Sheffield S Yorkshire England

ISBN: (纸本)9781450390958

the webXR device API allows the creation of web browser-based eXtended Reality (XR) applications, i.e. Virtual Reality (VR) and Augmented Reality (AR) applications, by providing access to input and output capabilities from AR and VR devices. webXR applications can be experienced through the webXR supported browsers of standalone and PC-connected VR headsets, AR headsets, mobile devices with or without headsets, and personal computers or desktops. webXR has been growing in popularity since its introduction due to the several benefits it promises such as allowing creators to utilise webGL's rich development ecosystem;create cross-platform and future proof XR applications;and create applications that can be experienced in VR or AR with minimal code changes. However, research has not been conducted to understand the experiences of webXR creators. To address this gap, we conducted a qualitative study that involved interviews with 11 webXR creators with diverse backgrounds aimed at understanding their experiences, and in this paper, we present 8 key challenges reported by these creators.

关键词： webXR Augmented Reality Virtual Reality webGL web Browser

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Pluralistic Face Completion of Masked Face based on 3d priors 11

Pluralistic Face Completion of Masked Face based on 3D prior...

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11th international conference on Information technology: IoT and Smart City, ICIT 2023

作者： Krishnamurthy, Vallidevi Rahul, Nuthalapati Ponvignesh, C. Aashish, Sai Vellore Institute of Technology TamilNadu Chennai India New York Buffalo United States Barclays Global Service Centre Tamil Nadu Chennai India Virtusa ColumbusOH United States

ISBN: (纸本)9798400709043

the pluralistic face completion system is developed as a web application that generates multiple face images for a face which is covered under a face mask. the web application consists of five modules where it deals with, 1) Applying a face mask to the person's image, 2) Removing face mask in the masked face image by generating the covered part of the face corresponding to rest of the face part with multiple outputs, 3) Checking similarity between resultant images and input images given by user, 4) Querying a person's availability in group image and 5) Face aging module where a person of any age is given along with the desired age number, where it generates the face image of the required age of a person. the found similar person can be checked for his outlook on various angles, by rotating the person's face. Face generation algorithms are prone to generate differentiating outputs then the ground truth image. As these algorithms generate only single output, there is a high scope these outputs not being closely matched with the original image. Hence, in this project multiple diverse output images are generated, which increases the probability of achieving the highest similarity with the original image. Masking the face is attained by using dlib library while the rendering of the face is achieved by using Generative Adversarial Networks (GAN). the proposed project is designed such that, it solves the dependency of manually labelling missing regions of the face (i.e., mask region on the face), identifying the best matching similar face for the generated face image from the former network and identifying the person of interest in a given group image. © 2023 ACM.

关键词： Generative adversarial networks

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3description: An Intuitive Human-AI Collaborative 3d Modeling Approach 23

3Description: An Intuitive Human-AI Collaborative 3D Modelin...

引用

Proceedings of the 11th international conference on digital and Interactive Arts

作者： Zhuodi Cai Tisch School of the Arts New York University United States

ISBN: (纸本)9798400708725

关键词： 3d Object description GPT Human-AI Collaboration Intuitive 3d Modeling Multimodal HCI

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Bandwidth-Efficient Video Compression for web Streaming Using Camera Localization

Bandwidth-Efficient Video Compression for Web Streaming Usin...

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international conference on web Research (ICWR)

作者： Parisa Tavakkoli Heravi Zahra Tavanaei Sereshki Head of Software & Artificial Intelligence Group Sun-Air Research Institute Mashhad Iran PhD in Electrical Engineering - Control Amir Kabir University of Technology Tehran Iran

ISBN: (数字)9798331508913

ISBN: (纸本)9798331508920

Majority of today's web traffic consists of highresolution videos for streaming, conferencing, and surveillance. Transmitting raw video over the web demands high bandwidth, creating a pressing need for effective compression. In this paper, we focus on compressing videos captured by moving agentssuch as drones or vehicles-used in IoT-based surveillance systems. Our method exploits 3d scene geometry and camera poses to reduce redundancy while preserving quality. Unlike approaches that rely on Structure-from-Motion, we employ an efficient Simultaneous Localization & Mapping (SLAM) technique for camera localization that can run on typical IoT devices with limited computational power. We analyze the application of SLAM for video compression and tackle the practical challenges inherent to SLAM systems. Simulation results demonstrate significant compression gains and a notable reduction in computational complexity compared to stare-of-the-art SfM methods. this makes the proposed approach highly suitable for video streaming in modern web communications and IoT applications.

关键词： Location awareness Simultaneous localization and mapping web services Surveillance Simulation Video compression Streaming media Cameras Internet of things Videos

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Super Six - Axis Cord Influenced Linear Laser for Personal Flower Management in Cultivation with Live Control Systems is Connected to the Robot Manipulator 11

Super Six - Axis Cord Influenced Linear Laser for Personal F...

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11th international conference on System Modeling and Advancement in Research Trends, SMART 2022

作者： Narasimhayya, B.E. Vinay Kumar, S.B. Department of Computer Science and Engineering Bangalore India Department of Electronics and Communication Engineering Faculty of Engineering and Technology Bangalore India

ISBN: (纸本)9781665487320

In today's agribusiness, using robotics, machine learning, and also the web of things has become standard practise. the agricultural business is being forced to embrace such new methods in order to address issues like massive unemployment, rising food consumption with declining quality farmland, efficiency per square land, and deteriorating food quality due to global warming. As a result of the aforementioned difficulties and the world's increasing population, research and innovation in agricultural technology have become more crucial nowadays. In this document, we suggest an AI-powered wire automaton with six levels of autonomy and an omega automaton with degrees of opportunity that can help with agricultural tasks like sorting, pest management, picking strawberries and flowers, fertiliser application, and tracking of plant development, NPK tiers, and soil moisture. the robotic is called Farmbot. the Based criteria may communicate crop information to distant servers where it can be processed and retrieved to get further insight into soil quality. It can also be managed and watched remotely by a home computer or via a mobile internet software. the Farmbot may be programmed to do routine tasks including continuous monitoring, collecting fruit, cleaning, applying fertiliser, and gathering information about each plant. the Farmbot has direct exposure to just about any area of the field thanks to its placement over a moveable four wheels bot. this Farmbot's goal is mainly on providing individualised plant maintenance and aiding producers in raising output. As a design illustration of a functioning version for the imagined Farmbot, a 3d depiction is shown. the simulation's outcomes are shown. © 2022 IEEE.

关键词： Remote control

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An Efficient Hybrid deep Neural Network for Intelligence Quotient detection from Brain Magnetic Resonance Imaging

An Efficient Hybrid Deep Neural Network for Intelligence Quo...

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international conference on web Research (ICWR)

作者： Shayan Rostami Hossein Sadr Ali Ashraf Mojdeh Nazari Department of Computer Engineering Ayandegan Institute of Education Tonekabon Iran Department of Artificial Intelligence in Medicine Faculty of Advanced Technologies in Medicine Iran University of Medical Sciences Tehran Iran Clinical Research Development Unit of Poursina Hospital Guilan University of Medical Sciences Rasht Iran Department of Health Information Technology and Management School of Allied Medical Sciences Shahid Beheshti University of Medical Sciences Tehran Iran

ISBN: (数字)9798331508913

ISBN: (纸本)9798331508920

Accurate IQ detection through non-invasive methods, such as brain MRI analysis, can play a critical role in the early diagnosis and prevention of neurological disorders. this study proposes a hybrid approach that leverages the feature extraction power of Convolutional Neural Networks (CNN) and the robust classification capabilities of the XGBoost algorithm to enhance the accuracy of IQ prediction models. CNNs effectively process MRI images by extracting complex visual features, while XGBoost optimizes classification performance through ensemble learning techniques. the integration of these methods results in a more precise and reliable IQ detection system. Furthermore, the model's architecture and data processing techniques offer potential for adaptation in web-based diagnostic platforms and large-scale, distributed medical research applications. this study presents an innovative approach by combining convolutional neural networks (VGG16 and ResNet-50) with the XGBoost algorithm to classify intelligence levels from brain MRI images. Unlike previous studies that used CNNs solely for feature extraction, this research employs XGBoost for final classification, achieving an 83 % accuracy in the VGG16+XGBoost model, showing a notable improvement over the 73 % reported in the most similar prior study. the use of 3d NIfTI data and sagittal slices for enhanced data analysis is also a key innovation of this research.

关键词： Adaptation models Visualization Technological innovation Accuracy three-dimensional displays Magnetic resonance imaging Feature extraction Brain modeling Classification algorithms Convolutional neural networks

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