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FDCPNet:feature discrimination and context propagation network for 3D shape representation

虚拟现实与智能硬件(中英文) 2025年第1期7卷 83-94页

作者： Weimin SHI Yuan XIONG Qianwen WANG Han JIANG Zhong ZHOU State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation *** methods for extracting features from mesh edges or faces struggle with complex 3D models because edge-based approaches miss global contexts and face-based methods overlook variations in adjacent areas,which affects the overall *** address these issues,we propose the Feature Discrimination and Context Propagation Network(FDCPNet),which is a novel approach that synergistically integrates local and global features in mesh *** FDCPNet is composed of two modules:(1)the Feature Discrimination Module,which employs an attention mechanism to enhance the identification of key local features,and(2)the Context Propagation Module,which enriches key local features by integrating global contextual information,thereby facilitating a more detailed and comprehensive representation of crucial areas within the mesh *** Experiments on popular datasets validated the effectiveness of FDCPNet,showing an improvement in the classification accuracy over the baseline ***,even with reduced mesh face numbers and limited training data,FDCPNet achieved promising results,demonstrating its robustness in scenarios of variable complexity.

关键词： 3D shape representation Mesh model MeshNet Feature discrimination Context propagation

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PwP: Permutating with Probability for Efficient Group Selection in VR

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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

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

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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

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Saliency Based Data Augmentation for Few-Shot Video Action Recognition 31st

Saliency Based Data Augmentation for Few-Shot Video Action ...

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31st International Conference on Multimedia Modeling, MMM 2025

作者： Kong, Yongqiang Wang, Yunhong Li, Annan The State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China

ISBN: (纸本)9789819620630

Despite the progress made in few-shot video action recognition, existing methods still struggle to achieve satisfactory performance when support samples are limited (e.g., 1-shot task). This paper proposes to augment training samples without relying on additional supervision and labor costs, aiming at improving generalizability of learned representations. We introduce a novel self-supervised salient object detection model which results in frame-level saliency and background features of videos. A shared encoder is employed to fuse saliency and background information from different videos. Both intra- and inter-class fusion are performed, in which the latter is controlled by prior probability to avoid semantic ambiguities. This way actually corresponds to augment training data in feature space. The saliency-background representations formed from query and support videos are used to construct class prototypes through Temporal-Relational CrossTransformers. Experimental results on four standard benchmarks demonstrate that the proposed method outperforms state-of-the-arts under various few-shot settings, particularly excelling in the 1-shot case. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wages

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Where Should a virtual Guide Stand in a VR Museum? 1st

Where Should a Virtual Guide Stand in a VR Museum?

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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

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Identification of Gingival Inflammation Surface Image Features Using Intraoral Scanning and Deep Learning

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International Dental Journal 2025年第3期75卷 2104-2114页

作者： Li, Wei Li, Linlin Xu, Wenchong Guo, Yuting Xu, Min Huang, Shengyuan Dai, Dong Lu, Chang Li, Shuai Lin, Jiang Department of Stomatology Beijing Tongren Hospital Capital Medical University Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China

Introduction and aim: The assessment of gingival inflammation surface features mainly depends on subjective judgment and lacks quantifiable and reproducible indicators. Therefore, it is a need to acquire objective identification information for accurate monitoring and diagnosis of gingival inflammation. This study aims to develop an automated method combining intraoral scanning (IOS) and deep learning algorithms to identify the surface features of gingival inflammation and evaluate its accuracy and correlation with clinical indicators. Methods: The study included the periodontal probing data and intraoral scan images of 120 patients with periodontitis. The deep learning model GC-U-Net was used to automatically segment and identify the gingival inflammation regions. The performance of the model was evaluated by the Dice coefficient (Dice), intersection over union (IoU), and pixel accuracy (PA), and the correlation between the identification performance and the periodontal examination index was analysed. Results: The GC-U-Net model showed high recognition accuracy, with a Dice of 77.8%, an IoU of 65.4%, and a PA of 93.7%. This model demonstrated a strong positive correlation with the sulcus bleeding index (SBI;r = 0.836, P < .001), a moderately strong positive correlation with the bleeding index (BI;r = 0.618, P < .001), and a negative correlation with the probe depth (PD;r = - 0.425, P < .001). Conclusion: The study has successfully developed an automatic identification method for surface characteristics of gingival inflammation based on deep learning and IOS technology, providing a standardised and automated auxiliary tool for clinical gingival inflammation examination with high accuracy and significant correlation with clinical indicators. Clinical Relevance: This method can reduce subjective judgment in the clinical assessment of gingival inflammation, improve the consistency and reliability of identification, and play an important auxiliary role in clinical diagn

关键词： Artificial intelligence Deep learning Gingival inflammation Intraoral scanning Periodontitis

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Subthreshold Depression Recognition and Correlation Study from Pulse Condition via Stacking Ensemble Algorithm 1st

Subthreshold Depression Recognition and Correlation Study f...

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1st International Conference on Extended reality, ICXR 2024

作者： Jiang, Han Li, Ming Gao, Yang Li, Peiru State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9789819636785

Subthreshold depression, a transition state to depression, seriously hinders the early diagnosis of depression. Current studies mostly use heterogeneous definitions of subthreshold depression, making the results of such meta-analyses questionable. Therefore, it is of vital significance to develop an objective method for the diagnosis of subthreshold depression based on objective criteria. In traditional Chinese medicine (TCM), symptoms similar to subthreshold depression have been extensively explored. However, diagnostic methods in TCM still depend heavily on the experience of doctors and lack integration with modern diagnostic techniques, which makes it challenging to explain the pathogenesis of subthreshold depression. Consequently, we propose an explainable framework, based on a stacking ensemble algorithm, for subthreshold depression recognition from biomarkers in the pulse waveform and concepts of pulse in TCM. In this method, Naive Bayes, Random Forest, Extremely Randomized Trees, Categorical Boosting and Logistic Regression are chosen as basic learners, and XGBoost is selected as the meta-classifier. Based on the five-fold cross-validation method, grid search method and repetition of training, the stacking ensemble model shows superiority on most performance evaluation metrics including AUC, F1 scores, MCC, precision and sensitivity. Besides, by analyzing the Adjusted Odds Ratio of features in the pulse waveform, we obtained four features that have a high correlation with the occurrence of subthreshold depression and derived physiological changes in patients with subthreshold depression based on their physiological significance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Diagnosis

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Fish Detection and Quantity Estimation Based on Sonar Images 1st

Fish Detection and Quantity Estimation Based on Sonar Images

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1st International Conference on Extended reality, ICXR 2024

作者： Du, Wenxiang Yan, Shuai Qi, Yue State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China Qingdao Research Institute of Beihang University Qingdao266100 China

ISBN: (纸本)9789819636785

Due to the complex underwater environment and dense targets, it is difficult to quickly and accurately calculate the location and quantity of fish targets in marine ranching. We have developed an underwater target detection and counting algorithm based on sonar images, which includes four parts: image preprocessing, background subtraction, contour detection, and target counting. Firstly, we design a sliding-window-based gain algorithm based on the uneven grayscale value of sonar images, which amplifies the effective signal while smoothing the grayscale of the image. Secondly, background subtraction is used to separate the foreground and background of the sonar image, which can remove background noise and filter the target using a filtering algorithm to generate a binary image with clear targets. Then, target detection is combined with morphological processing techniques and contour detection algorithms. Finally, we use image erosion technology to separate overlapping targets, calculate the contour position of the targets, and count the quantity. A large number of results indicate that our algorithm can quickly and accurately detect the position of fish in sonar images while also counting the number of fishes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Binary images

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

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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

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Expression Fusion to Enhance Video and Speech-Driven 3D Facial Animation 41st

Expression Fusion to Enhance Video and Speech-Driven 3D Fa...

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41st Computer Graphics International Conference, CGI 2024

作者： Liu, Yangyue Hu, Yong Shen, Xukun State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China School of New Media Art and Design Beihang University Beijing100191 China

ISBN: (纸本)9783031820205

Currently, monocular 3D face capture and tracking methods are difficult to ensure the accuracy of identity and expression, and speech-driven 3D facial animation methods are challenging to acquire head pose and upper facial expression. In response, we propose a video- and speech-driven 3D facial animation synthesis method that attempts to combine the benefits of these methods and avoid their weaknesses. Specifically, to facilitate animation and handle the problem of character identity accuracy, we generate character appearance templates by registering a 3D morphable model (3DMM) to a rigid model. To address the limitations of different methods for acquiring expressions and poses, we design an expression fusion network based on the 3DMM space to fuse the expression data acquired by different modalities and output unified facial expression data. Finally, due to the limitation of the dataset ignoring the eye movements, we design an eye movement enhancement network to add eyelid movements by modifying the facial expression data and then replacing the eye region to get the final 3D face mesh animation. Through detailed experiments, we demonstrate that our method can generate speech-visual synchronized 3D face animations while obtaining better performance results than the current concerns of using monocular video images or speech-driven generation of 3D face animation methods independently. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Animation

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