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3D scene graph prediction from point clouds

virtual reality & Intelligent Hardware 2022年第1期4卷 76-88页

作者： Fanfan WU Feihu YAN Weimin SHI Zhong ZHOU State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Background In this study,we propose a novel 3D scene graph prediction approach for scene understanding from point *** It can automatically organize the entities of a scene in a graph,where objects are nodes and their relationships are modeled as *** specifically,we employ the DGCNN to capture the features of objects and their relationships in the scene.A Graph Attention Network(GAT)is introduced to exploit latent features obtained from the initial estimation to further refine the object arrangement in the graph structure.A one loss function modified from cross entropy with a variable weight is proposed to solve the multi-category problem in the prediction of object and *** Experiments reveal that the proposed approach performs favorably against the state-of-the-art methods in terms of predicate classification and relationship prediction and achieves comparable performance on object classification *** The 3D scene graph prediction approach can form an abstract description of the scene space from point clouds.

关键词： Scene understanding 3D scene graph Point cloud DGCNN GAT

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virtual visualisation-based approach for fighter stealth-coating analysis

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Materials Research Innovations 2015年第Sup8期19卷 46-50页

作者： Geng, J. Lv, C. Guo, Z. Zhou, D. Wang, Z. School of Reliability and Systems Engineering Beijing University of Aeronautics and Astronautics Beijing100191 China State Key Laboratory of Virtual Reality Technology and System Beijing100191 China

This paper presents a novel stealth-coating analysis method based on virtual visualisation technology to provide recommendations for stealthcoating in fighter design and maintenance. The proposed methodology focuses on the inherent property and extrinsic performance of the stealth material and visualises both stealth coating and its performance in a virtual environment according to corresponding material properties. Stealth-coating design or maintenance is then conducted in a predictive manner intuitively and systemically for analysis. A case study on infrared stealth is presented to illustrate the performance of the method. Results show the feasibility of virtual visualisation in improving fighter stealth-coating design. © W. S. Maney & Son Ltd 2015.

关键词： virtual reality

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Discriminative feature encoding for intrinsic image decomposition

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Computational Visual Media 2023年第3期9卷 597-618页

作者： Zongji Wang Yunfei Liu Feng Lu Key Laboratory of Network Information System Technology(NIST) Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100190China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Peng Cheng Laboratory Shenzhen 518000China

Intrinsic image decomposition is an important and long-standing computer vision *** an input image,recovering the physical scene properties is *** physically motivated priors have been used to restrict the solution space of the optimization problem for intrinsic image *** work takes advantage of deep learning,and shows that it can solve this challenging computer vision problem with high *** focus lies in the feature encoding phase to extract discriminative features for different intrinsic layers from an input *** achieve this goal,we explore the distinctive characteristics of different intrinsic components in the high-dimensional feature embedding *** define feature distribution divergence to efficiently separate the feature vectors of different intrinsic *** feature distributions are also constrained to fit the real ones through a feature distribution *** addition,a data refinement approach is provided to remove data inconsistency from the Sintel dataset,making it more suitable for intrinsic image *** method is also extended to intrinsic video decomposition based on pixel-wise correspondences between adjacent *** results indicate that our proposed network structure can outperform the existing state-of-the-art.

关键词： intrinsic image decomposition deep learning feature distribution data refinement

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Octree-based robust watermarking for 3D model

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Journal of Multimedia 2011年第1期6卷 83-90页

作者： Cai, Su Shen, Xukun School of Educational Technology Beijing Normal University Beijing China State Key Laboratory of Virtual Reality Technology Beihang University Beijing China

Three robust blind watermarking methods of 3D models based on Octree are proposed in this paper: OTC-W, OTP-W and Zero-W. Primary Component Analysis and Octree partition are used on 3D meshes. A scrambled binary image for OTC-W and a scrambled RGB image for OTP-W are separately embedded adaptively into the single child nodes at the bottom level of Octree structure. The watermark can be extracted without the original image and 3D model. Those two methods have high embedding capacity for 3D meshes. Meanwhile, they are robust against geometric transformation (like translation, rotation, uniform scaling) and vertex reordering attacks. For Zero-W, higher nodes of Octree are used to construct 'Zerowatermark', which can resist simplification, noise and remeshing attacks. All those three methods are fit for 3D point cloud data and arbitrary 3D meshes. © 2011 ACADEMY PUBLISHER.

关键词： Binary images

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A survey on image and video stitching

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virtual reality & Intelligent Hardware 2019年第1期1卷 55-83页

作者： Wei LYU Zhong ZHOU Lang CHEN Yi ZHOU State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Image/video stitching is a technology for solving the field of view(FOV)limitation of images/*** stitches multiple overlapping images/videos to generate a wide-FOV image/video,and has been used in various fields such as sports broadcasting,video surveillance,street view,and *** survey reviews image/video stitching algorithms,with a particular focus on those developed in recent *** stitching first calculates the corresponding relationships between multiple overlapping images,deforms and aligns the matched images,and then blends the aligned images to generate a wide-FOV image.A seamless method is always adopted to eliminate such potential flaws as ghosting and blurring caused by parallax or objects moving across the overlapping *** stitching is the further extension of image *** usually stitches selected frames of original videos to generate a stitching template by performing image stitching algorithms,and the subsequent frames can then be stitched according to the *** stitching is more complicated with moving objects or violent camera movement,because these factors introduce jitter,shakiness,ghosting,and *** detection technique is usually combined into stitching to eliminate ghosting and blurring,while video stabilization algorithms are adopted to solve the jitter and *** paper further discusses panoramic stitching as a special-extension of image/video *** stitching is currently the most widely used application in *** survey reviews the latest image/video stitching methods,and introduces the fundamental principles/advantages/weaknesses of image/video stitching ***/video stitching faces long-term challenges such as wide baseline,large parallax,and low-texture problem in the overlapping *** technologies may present new opportunities to address these issues,such as deep learning-based semantic correspondence,and 3D image ***,

关键词： Image stitching Video stitching Panoramic stitching Registration Alignment Mesh optimization Deep learning 3D stitching

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The frame synchronization method on parallel rendering system

The frame synchronization method on parallel rendering syste...

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MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques: 6th International Symposium on Multispectral Image Processing and Pattern Recognition

作者： He, Bing Wang, Bo State Key Laboratory of Virtual Reality Technology and System Beijing University of Aeronautics and Astronautics Beijing 100191 China

ISBN: (纸本)9780819478085

Parallel rendering based on a cluster is an effective method to improve the performance and resolution of graphics system, while frame synchronization is the core issue during parallel rendering. This paper puts forward a type of frame synchronization method applicable for large-scale dynamic complex scene parallel rendering system, which adopts dynamic adaptive control of frame frequency to realize AIAMD concept of congestion control, namely mixed additive increase and multiplicative decrease (i.e. AIMD), as well as additive increase and additive decrease (i.e. AIAD). Then it achieves synchronous output and display of cluster computer frame according to the conditions of network between rendering nodes and display nodes, as well as scene rendering of rendering nodes. The experimental results show that, this frame synchronization method is better than some other program-level synchronous control methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Linear programming

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Eye-shaped keyboard for dual-hand text entry in virtual reality

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virtual reality & Intelligent Hardware 2023年第5期5卷 451-469页

作者： Kangyu WANG Yangqiu YAN Hao ZHANG Xiaolong LIU Lili WANG State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100083China Peng Cheng Laboratory Shenzhen 518000China

We propose an eye-shaped keyboard for high-speed text entry in virtual reality (VR), having the shape of dual eyes with characters arranged along the curved eyelids, which ensures low density and short spacing of the keys. The eye-shaped keyboard references the QWERTY key sequence, allowing the users to benefit from their experience using the QWERTY keyboard. The user interacts with an eye-shaped keyboard using rays controlled with both the hands. A character can be entered in one step by moving the rays from the inner eye regions to regions of the characters. A high-speed auto-complete system was designed for the eye-shaped keyboard. We conducted a pilot study to determine the optimal parameters, and a user study to compare our eye-shaped keyboard with the QWERTY and circular keyboards. For beginners, the eye-shaped keyboard performed significantly more efficiently and accurately with less task load and hand movement than the circular keyboard. Compared with the QWERTY keyboard, the eye-shaped keyboard is more accurate and significantly reduces hand translation while maintaining similar efficiency. Finally, to evaluate the potential of eye-shaped keyboards, we conducted another user study. In this study, the participants were asked to type continuously for three days using the proposed eye-shaped keyboard, with two sessions per day. In each session, participants were asked to type for 20min, and then their typing performance was tested. The eye-shaped keyboard was proven to be efficient and promising, with an average speed of 19.89 words per minute (WPM) and mean uncorrected error rate of 1.939%. The maximum speed reached 24.97 WPM after six sessions and continued to increase.

关键词： virtual reality Human computer interaction Text entry Shaped keyboard QWERTY-like key sequence Dual-hand cooperation

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Haptic-visual interaction training system for refueling aircraft

Haptic-visual interaction training system for refueling airc...

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2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

作者： Liu, Guanyang Zhou, Wanlin Muli, Liu Wang, Ju State Key Lab of Virtual Reality Technology and System Beihang University Beijing China

ISBN: (纸本)9781424441341

The goal of this paper is to develop haptic-visual interaction training system for aircraft fuel supply simulation. Operators can use this system to simulate refueling aircraft in virtual environment with tactile and visual feedback. The simulator is built based on haptic device Omega 3DOF. Hardware and software are discussed to meet the requirement of training simulation. Experiment results show that the system can provide stable simulation of aircraft refueling operation. ©2009 IEEE.

关键词： virtual reality

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Spatiotemporal consistency-based adaptive hand-held video stabilization

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Science China(Information Sciences) 2020年第1期63卷 226-228页

作者： Xiao LI Shuai LI Hong QIN Aimin HAO State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beihang University Qingdao Research Institute Department of Computer Science Stony Brook University

This study develops a novel, joint optimization method to successively respect spatial structure consistency and temporal feature constraints. Our method is more flexible and adaptive as we regard the camera multitrack motion to be noisy signals and adaptively suppress the noise without manual intervention. In addition, our method can achieve stabilization effects similar to that obtained by 3D

关键词： IMF EMD red frame Spatiotemporal consistency-based adaptive hand-held video stabilization

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A moving foreground expansion method based on the gaussian distribution

A moving foreground expansion method based on the gaussian d...

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2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

作者： Li, Yanhua Li, Wei Xiang, Qi State Key Laboratory of Virtual Reality Technology and System Key Lab. of Beijing Network Technology Beihang University Beijing China

ISBN: (纸本)9780769550466

With the development of computer science, intelligent video surveillance technology has been widely used, moving target detection becomes an important part in the field of intelligent video surveillance. Moving foreground extraction, which is the first step of moving target detection, decides the accuracy of moving target detection. Traditional frame difference, background subtraction and other moving foreground extraction algorithms do get the extracted results but still have some shortcomings, such as disabilities and holes. So a moving foreground expansion method based on Gaussian distribution is proposed in this paper. This method utilizes the theory of Gaussian distribution to establish the Gaussian kernel on the boundary of the moving foreground. Next, the mean and variance of the Gaussian kernel is calculated. And then the necessary probability can be obtained with the mean and variance. At last, we can determine whether to expand according to the contrast result of the probability and the stated threshold, making the missing parts get an effective supplement and expansion. The experiments show that the method can detect moving targets more accurately due to effectively complementing the moving foreground. © 2013 IEEE.

关键词： Gaussian distribution

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