检索结果-内蒙古大学图书馆

PwP: Permutating with Probability for Efficient Group Selection in vr

IEEE Transactions on Visualization and Computer Graphics 2025年第5期31卷 2384-2394页

作者： Wu, Jian Zhang, Weicheng Chen, Handong Lin, Wei Shi, Xuehuai Wang, Lili Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Nanjing University of Posts and Telecommunications China Peng Cheng Laboratory Shenzhen China

Group selection in virtual reality is an important means of multi-object selection, which allows users to quickly group multiple objects and can significantly improve the operation efficiency of multiple types of objects. In this paper, we propose a group selection method based on multiple rounds of probability permutation, in which the efficiency of group selection is substantially improved by making the object layout of the next round easier to be batch-selected through interactive selection, object grouping probability computation, and position rearrangement in each round of the selection process. We conducted ablation experiments to determine the algorithm coefficients and validate the effectiveness of the algorithm. In addition, an empirical user study was conducted to evaluate the ability of our method to significantly improve the efficiency of the group selection task in an immersive virtual reality environment. The reduced operations also indirectly reduce the user task load and improve usability. © 1995-2012 IEEE.

关键词： Virtual environments

来源：评论

学校读者我要写书评

暂无评论

Fov-GS: Foveated 3D Gaussian Splatting for Dynamic Scenes

引用

IEEE Transactions on Visualization and Computer Graphics 2025年第5期31卷 2975-2985页

作者： Fan, Runze Wu, Jian Shi, Xuehuai Zhao, Lizhi Ma, Qixiang Wang, Lili Nanjing University of Posts and Telecommunications China Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Peng Cheng Laboratory Shenzhen China

Rendering quality and performance greatly affect the user's immersion in vr experiences. 3D Gaussian Splatting-based methods can achieve photo-realistic rendering with speeds of over 100 fps in static scenes, but the speed drops below 10 fps in monocular dynamic scenes. Foveated rendering provides a possible solution to accelerate rendering without compromising visual perceptual quality. However, 3DGS and foveated rendering are not compatible. In this paper, we propose Fov-GS, a foveated 3D Gaussian splatting method for rendering dynamic scenes in real time. We introduce a 3D Gaussian forest representation that represents the scene as a forest. To construct the 3D Gaussian forest, we propose a 3D Gaussian forest initialization method based on dynamic-static separation. Subsequently, we propose a 3D Gaussian forest optimization method based on deformation field and Gaussian decomposition to optimize the forest and deformation field. To achieve real-time dynamic scene rendering, we present a 3D Gaussian forest rendering method based on HVS models. Experiments demonstrate that our method not only achieves higher rendering quality in the foveal and salient regions compared to the SOTA methods but also dramatically improves rendering performance, achieving up to 11.33X speedup. We also conducted a user study, and the results prove that the perceptual quality of our method has a high visual similarity with the ground truth. © 1995-2012 IEEE.

关键词： Digital elevation model

来源：评论

学校读者我要写书评

暂无评论

GazeSwipe: Enhancing Mobile Touchscreen Reachability through Seamless Gaze and Finger-Swipe Integration 25

GazeSwipe: Enhancing Mobile Touchscreen Reachability through...

引用

Proceedings of the 2025 CHI Conference on Human Factors in Computing systems

作者： Zhuojiang Cai Jingkai Hong Zhimin Wang Feng Lu State Key Lab. of VR Technology and Systems Beihang University Beijing China

来源：评论

学校读者我要写书评

暂无评论

GazeSwipe: Enhancing Mobile Touchscreen Reachability through Seamless Gaze and Finger-Swipe Integration

arXiv

引用

arXiv 2025年

作者： Cai, Zhuojiang Hong, Jingkai Wang, Zhimin Lu, Feng State Key Lab. of VR Technology and Systems Beihang University Beijing China

Smartphones with large screens provide users with increased display and interaction space but pose challenges in reaching certain areas with the thumb when using the device with one hand. To address this, we introduce GazeSwipe, a multimodal interaction technique that combines eye gaze with finger-swipe gestures, enabling intuitive and low-friction reach on mobile touchscreens. Specifically, we design a gaze estimation method that eliminates the need for explicit gaze calibration. Our approach also avoids the use of additional eye-tracking hardware by leveraging the smartphone’s built-in front-facing camera. Considering the potential decrease in gaze accuracy without dedicated eye trackers, we use finger-swipe gestures to compensate for any inaccuracies in gaze estimation. Additionally, we introduce a user-unaware auto-calibration method that improves gaze accuracy during interaction. Through extensive experiments on smartphones and tablets, we compare our technique with various methods for touchscreen reachability and evaluate the performance of our auto-calibration strategy. The results demonstrate that our method achieves high success rates and is preferred by users. The findings also validate the effectiveness of the auto-calibration strategy. © 2025, CC BY.

关键词： Smartphones

来源：评论

学校读者我要写书评

暂无评论

Where Should a Virtual Guide Stand in a vr Museum? 1st

Where Should a Virtual Guide Stand in a VR Museum?

引用

1st International Conference on Extended Reality, ICXR 2024

作者： Liu, Xinda Jiang, Kun Wu, Jian Wang, Lili Geng, Guohua Northwest University Shanxi710127 China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China

ISBN: (纸本)9789819636785

In vr museums, where virtual guides play a key role, optimizing their position is critical to enhancing user experience. This paper models the location relationship between relic, visitor and virtual guide through user studies, and introduces the Asymmetrical Mutual Virtual Retargeting (AMvr) method, which addresses challenges related to visual occlusion and multi-user sensory inconsistency. AMvr uses a unique virtual retargeting technique applied to both users simultaneously. The method redirects each user’s gaze to the other’s guide, while confusing the direction of view and body orientation, so that each user believes everyone is looking at their guide. This approach optimizes the guide’s position based on the differing locations of users, resulting in asymmetrical rotational gains during retargeting. By improving the spatial interaction between users and virtual guides, AMvr ensures smoother, more comfortable navigation while maintaining consistent guide presence for all users. Two user studies conducted to evaluate the method demonstrated significant improvements in task efficiency and user satisfaction, particularly in reducing occlusion and enhancing the perception of the consistent guide. Questionnaire results showed AMvr did not increase user discomfort and provided a more intuitive experience compared to other methods. AMvr offers a promising solution for optimizing multi-user interactions in vr museums, providing a strong basis for future research in virtual human-computer interaction. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Virtual environments

来源：评论

学校读者我要写书评

暂无评论

TdAttenMix: Top-Down Attention Guided Mixup

arXiv

引用

arXiv 2025年

作者： Wang, Zhiming Gu, Lin Lu, Feng State Key Laboratory of VR Technology and Systems School of CSE Beihang University China RIKEN AIP Japan The University of Tokyo Japan

CutMix is a data augmentation strategy that cuts and pastes image patches to mixup training data. Existing methods pick either random or salient areas which are often inconsistent to labels, thus misguiding the training model. By our knowledge, we integrate human gaze to guide cutmix for the first time. Since human attention is driven by both high-level recognition and low-level clues, we propose a controllable Top-down Attention Guided Module to obtain a general artificial attention which balances top-down and bottom-up attention. The proposed TdATttenMix then picks the patches and adjust the label mixing ratio that focuses on regions relevant to the current label. Experimental results demonstrate that our TdAttenMix outperforms existing state-of-the-art mixup methods across eight different benchmarks. Additionally, we introduce a new metric based on the human gaze and use this metric to investigate the issue of image-label inconsistency. Copyright © 2025, The Authors. All rights reserved.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Can i Get There? Negotiated User-to-User Teleportations in Social vr

引用

IEEE Transactions on Visualization and Computer Graphics 2025年第5期31卷 2320-2330页

作者： Wang, Miao Shu, Wen-Tong Li, Yi-Jun Li, Wanwan School of Computer Science and Engineering State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China Zhongguancun Laboratory Beijing100094 China Tsinghua University Department of Computer Science and Technology Beijing100084 China Tandy School of Computer Science University of Tulsa Tulsa United States

The growing adoption of social virtual reality (vr) platforms underscores the importance of safeguarding personal vr space to maintain user privacy and security. Teleportation, a prevalent instantaneous locomotion method in vr, facilitates user engagement but can also inadvertently intrude upon personal vr space, thereby raising privacy concerns. This paper introduces three innovative negotiated teleportation techniques designed to secure user-to-user teleportation and protect personal space privacy, all under a unified small-group development framework. We have designed and evaluated three types of negotiated teleportation techniques: Sector technique for directional control, Distance technique for minimum social distance control, and Area technique for defining circular permissible teleportation areas. These techniques foster a collaborative approach to selecting teleportation points that respect personal space. To evaluate the efficacy of these techniques, we conducted a user study with 20 participants who performed social tasks within a virtual campus environment. The findings demonstrate that our techniques significantly enhance privacy protection and alleviate anxiety associated with unwanted proximity in social vr. © 1995-2012 IEEE.

关键词： Virtual environments

来源：评论

学校读者我要写书评

暂无评论

Towards spatial computing: recent advances in multimodal natural interaction for XR headsets

arXiv

引用

arXiv 2025年

作者： Wang Rao, Maohang Ye, Shanghua Song, Weitao Lu, Feng State Key Laboratory of VR Technology and Systems School of CSE Beihang University Beijing China School of Optics and Photonics Beijing Institute of Technology Beijing China

With the widespread adoption of Extended Reality (XR) headsets, spatial computing technologies are gaining increasing attention. Spatial computing enables interaction with virtual elements through natural input methods such as eye tracking, hand gestures, and voice commands, thus placing natural human-computer interaction at its core. While previous surveys have reviewed conventional XR interaction techniques, recent advancements in natural interaction, particularly driven by artificial intelligence (AI) and large language models (LLMs), have introduced new paradigms and technologies. In this paper, we review research on multimodal natural interaction for wearable XR, focusing on papers published between 2022 and 2024 in six top venues: ACM CHI, UIST, IMWUT (Ubicomp), IEEE vr, ISMAR, and TVCG. We classify and analyze these studies based on application scenarios, operation types, and interaction modalities. This analysis provides a structured framework for understanding how researchers are designing advanced natural interaction techniques in XR. Based on these findings, we discuss the challenges in natural interaction techniques and suggest potential directions for future research. This review provides valuable insights for researchers aiming to design natural and efficient interaction systems for XR, ultimately contributing to the advancement of spatial computing. Copyright © 2025, The Authors. All rights reserved.

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

Detail Enhancement for Free Surface LBM Using Adaptive Sizing of Coupled Particles 1st

Detail Enhancement for Free Surface LBM Using Adaptive Sizi...

引用

1st International Conference on Extended Reality, ICXR 2024

作者： Qu, Qingyue Liu, Huiwen Zhu, Shaonan Hao, Aimin Yu, Peng Gao, Yang State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science Yangtze Power Co. Ltd. Hubei Yichang443000 China

ISBN: (纸本)9789819636785

Physically based fluid simulation plays an important role in the immersion and realistic of vr and AR applications. However, efficiency is the bottleneck problem that restricts physical applications. Among those physics-related fluid models, the Lattice Boltzmann Method (LBM), with its localized algorithm, offers high efficiency. However, as a purely Eulerian grid-based approach, achieving rich detail necessitates high resolution. Conversely, Lagrange-based methods can capture intricate details but require substantial computational time to solve large-scale linear systems and manage numerous particle operations. To address these challenges, we propose a hybrid solver that couples the efficient LBM solver with an adaptive particle interpolation method for detail enhancement. Our innovative adaptive particle strategy further reduces particle count while preserving surface detail and improving temporal efficiency by dynamically adjusting particle size based on particle position, distance, and velocity. Experiments demonstrate that our method can display more surface details than LBM alone, delivering visual effects comparable to direct particle interpolation but with higher efficiency. Moreover, our method yields superior visual results compared to adaptive particle methods based on the FLIP approach. This approach is particularly well-suited for large-scale simulations, enhancing both visual quality and time efficiency, and shows great potential for real-time fluid simulations in vr applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Computational fluid dynamics

来源：评论

学校读者我要写书评

暂无评论

LipText: Lip Tracking Based Text Entry in vr 1st

LipText: Lip Tracking Based Text Entry in VR

引用

1st International Conference on Extended Reality, ICXR 2024

作者： Leng, Jiaye Wang, Zijun Wu, Jian Wang, Lili School of Creative Media City University of Hong Kong Kowloon Tong Hong Kong State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China

ISBN: (纸本)9789819636785

Text entry is an important task in virtual reality (vr), and most existing methods require hand involvement, while hands-free typing has great potential for applications in mobile scenarios. Existing hands-free text entry methods are usually implemented by combining the head and eyes with techniques such as Dwell, Blink and Gesture, which can easily fatigue the user. In this paper, we propose LipText, a lip-tracking-based text entry method in vr. We use a neural network to perform letter-level prediction on the lip data captured by the facial tracker and use head-based selection as an auxiliary to improve the accuracy. We conduct a user study to evaluate our method, the results show a typing speed of 8.63 WPM for the novice group, 9.81 WPM for the potential expert group, and the highest recorded typing speed is 11.13 WPM achieved by a potential expert. Our method is also novice-friendly, and their typing speed increased by 64.38% over a six-day practice. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Virtual environments

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：