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21st ACM Symposium on virtual reality Software and technology, VRST 2015

作者： Yang, Lipeng Li, Shuai Xia, Qing Qin, Hong Hao, Aimin State Key Laboratory of Virtual Reality Technology and Systems Beihang University China

ISBN: (纸本)9781450339902

This paper advocates a novel integrated method to tightly couple simulation with analysis for the effective modeling and enhancement of scale-aware fluid details. It brings forth a suite of innovations in a unified framework, including depth-image-based space analysis for multi-scale detail detection, time-space analysis based on the logistic regression model that integrates both geometry and physics criteria, and depth-image-based sampling for quality-efficiency tradeoff. Our method contains an intertwined two-level processing architecture at its core. At the analysis level, we propose a rigorous time-space analysis model to pinpoint complex interacting regions, which can take into account multiple detailrelevant factors based on the depth-image sequence captured from FLIP-driven simulation sequence. At the simulation level, details are enhanced by animating extra diffuse materials, and augmenting the air-fluid mixing phenomenon. Directly benefitting from the flexibility of image-space-dominant processing, our unified framework can be entirely implemented on GPU, hence interactive performance could be guaranteed. Comprehensive experiments and evaluations on various diffuse phenomena (e.g., spray, foam, and bubble) have demonstrated its superiority in high-fidelity detail enhancement during fluid simulation and its interaction with surrounding environment for VR applications. © 2015 ACM.

关键词： Graphics processing unit

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Video driven pedestrian visualization with characteristic appearances 15

Video driven pedestrian visualization with characteristic ap...

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21st ACM Symposium on virtual reality Software and technology, VRST 2015

作者： Hu, Yu Wu, Wei Zhou, Zhong State Key Laboratory of Virtual Reality Technology and Systems Beihang University China

ISBN: (纸本)9781450339902

Augmented virtual environment (AVE) could visualize plausible live views from videos by projecting dynamic imagery to the 3D environment. Static objects in a video can be rendered in new views since they are easily modeled beforehand, while moving ones that don't have exact online models will be distorted from different views without proper depth. To cope with the problem, we introduce a novel method to visualize pedestrians, which are common in outdoor surveillance. Our method detects pedestrians and produces their trajectories. Then such pedestrian characteristic appearances as geometric information, texture and walking animation are transferred to a stand-in 3D animation model in the virtual environment. Experiments show our visualization can reveal person's characteristic appearances. © 2015 ACM.

关键词： virtual reality

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Frequency response function-based model updating using Kriging model

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MECHANICAL systems AND SIGNAL PROCESSING 2017年第PartA期87卷 218-228页

作者： Wang, J. T. Wang, C. J. Zhao, J. P. [a] School of Mechanical Engineering and Automation Beihang University Beijing China [b] State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China

An acceleration frequency response function (FRF) based model updating method is presented in this paper, which introduces Kriging model as metamodel into the optimization process instead of iterating the finite element analysis directly. The Kriging model is taken as a fast running model that can reduce solving time and facilitate the application of intelligent algorithms in model updating. The training samples for Kriging model are generated by the design of experiment (DOE), whose response corresponds to the difference between experimental acceleration FRFs and its counterpart of finite element model (FEM) at selected frequency points. The boundary condition is taken into account, and a two-step DOE method is proposed for reducing the number of training samples. The first step is to select the design variables from the boundary condition, and the selected variables will be passed to the second step for generating the training samples. The optimization results of the design variables are taken as the updated values of the design variables to calibrate the FEM, and then the analytical FRFs tend to coincide with the experimental FRFs. The proposed method is performed successfully on a composite structure of honeycomb sandwich beam, after model updating, the analytical acceleration FRFs have a significant improvement to match the experimental data especially when the damping ratios are adjusted.

关键词： Model updating Metamodel Frequency response function Optimization

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Particle-based simulation of fluid-solid coupling

Particle-based simulation of fluid-solid coupling

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13th International Conference on systems Simulation, AsiaSim 2013

作者： Yin, Xinyi Shen, Xukun Zhang, Fengquan Huang, Guanzhe State Key Laboratory of Virtual Reality Technology and Systems Beihang University China

ISBN: (纸本)9783642450365

We present an efficient framework for fluid-solid coupling, including both rigid and elastic bodies. Based on a unified particle model, we apply different coupling scheme for fluid-solid and solid-solid coupling respectively. Realistic and versatility are achieved by coupling all the objects adaptively. With the help of GPU accelerating, we gain a realtime simulation. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Hydrodynamics

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Image Tagging by Semantic Neighbor Learning Using User-Contributed Social Image Datasets

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Tsinghua Science and technology 2017年第6期22卷 551-563页

作者： Feng Tian Xukun Shen Xianmei Liu Maojun Cao the School of Computer and Information Technology Northeast Petroleum University Daqing 163318 China Xukun Shen is with State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China.

The explosive increase in the number of images on the Internet has brought with it the great challenge of how to effectively index, retrieve, and organize these resources. Assigning proper tags to the visual content is key to the success of many applications such as image retrieval and content mining. Although recent years have witnessed many advances in image tagging, these methods have limitations when applied to high-quality and large-scale training data that are expensive to obtain. In this paper, we propose a novel semantic neighbor learning method based on user-contributed social image datasets that can be acquired from the Web＇s inexhaustible social image content. In contrast to existing image tagging approaches that rely on high-quality image-tag supervision, we acquire weak supervision of our neighbor learning method by progressive neighborhood retrieval from noisy and diverse user-contributed image collections. The retrieved neighbor images are not only visually alike and partially correlated but also semantically related. We offer a step-by-step and easy-to-use implementation for the proposed method. Extensive experimentation on several datasets demonstrates that the performance of the proposed method significantly outperforms others.

关键词： image tag social image tagging user-contributed datasets semantic neighbor learning

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Research of fast cloth simulation based on mass- Spring model

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2012 National Conference on Information technology and Computer Science, CITCS 2012

作者： Cao, Zhenfang He, Bing State Key Lab of Virtual Reality Technology and Systems Beijing University of Aeronautics and Astronautics Beijing China

ISBN: (纸本)9789491216381

In cloth simulation based on the spring-mass model, algorithm dealing with super-elasticity reduces the simulation efficiency to some extent. Based on the correction algorithm of modifying position and velocity, an improved algorithm is proposed which can improve the efficiency effectively. Meanwhile, for collision detection, a cloth tree updating algorithm is proposed to improve the balance of cloth tree and speed up cloth collision detection efficiency. © 2012. The authors - Published by Atlantis Press.

关键词： Forestry

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3-D contour-aware U-Net for efficient rectal tumor segmentation in magnetic resonance imaging

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Medical Engineering and Physics 2025年 140卷 104352-104352页

作者： Lu, Yi Dang, Jun Chen, Junzhang Wang, Yuanyuan Zhang, Tao Bai, Xiangzhi Image Processing Center Beihang University Beijing102206 China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen518116 China Department of Oncology The First Affiliated Hospital of Chongqing Medical University Chongqing40016 China The State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China Beijing Advanced Innovation Center for Biomedical Engineering Beihang University Beijing100083 China Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technology Ministry of Education Beihang University Beijing102206 China

Magnetic resonance imaging (MRI), as a non-invasive detection method, is crucial for the clinical diagnosis and treatment plan of rectal cancer. However, due to the low contrast of rectal tumor signal in MRI, segmentation is often inaccurate. In this paper, we propose a new three-dimensional rectal tumor segmentation method CAU-Net based on T2-weighted MRI images. The method adopts a convolutional neural network to extract multi-scale features from MRI images and uses a Contour-Aware decoder and attention fusion block (AFB) for contour enhancement. We also introduce adversarial constraint to improve augmentation performance. Furthermore, we construct a dataset of 108 MRI-T2 volumes for the segmentation of locally advanced rectal cancer. Finally, CAU-Net achieved a DSC of 0.7112 and an ASD of 2.4707, which outperforms other state-of-the-art methods. Various experiments on this dataset show that CAU-Net has high accuracy and efficiency in rectal tumor segmentation. In summary, proposed method has important clinical application value and can provide important support for medical image analysis and clinical treatment of rectal cancer. With further development and application, this method has the potential to improve the accuracy of rectal cancer diagnosis and treatment. © 2025 IPEM

关键词： Image segmentation

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On-line signature verification based on three-dimensional force signals at critical points

On-line signature verification based on three-dimensional fo...

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International Conference on Audio, Language and Image Processing

作者： Fang, Lei Wang, Dang-Xiao Jiao, Hui-Min State Key Laboratory of Virtual Reality Technology and Systems Beihang University China

ISBN: (纸本)9781424458653

It is an open problem to extract stable and distinguishable features from force signals of handwriting signatures. Based on the writing habits and kinematics of human, a hypothesis was proposed that force signal at critical points, e.g. the starting, the turning and the ending of a signature .etc, consists of personalized features which can distinguish signatures of different persons. Using stroke curvature, the critical points were extracted, and the 3-dimensional force signals at the critical points were also recorded. Employing Dynamic Time Warping (DTW) method, based on a preliminary signature database, verification experiments were carried out using the force signals of a whole stroke and the force signal at the critical points of the stroke respectively. The results look encouraging to verify the hypothesis. ©2010 IEEE.

关键词： DTW dynamic time warping feature extraction handwriting recognition handwriting signatures human kinematics image processing online signature verification three-dimensional force signals time warp simulation

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Robust wrinkle-aware non-rigid registration for triangle meshes of hand with rich and dynamic details

Robust wrinkle-aware non-rigid registration for triangle mes...

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作者： Zhao, Ling Shen, Xukun Long, Xiang State Key Laboratory of Virtual Reality Technology and Systems Beihang University China

Consistence of topology for 3D models with such rich details as pores and wrinkles is very important for performing higher level tasks like deformation and animation. In this paper, we propose a novel wrinkle-aware registration method, which aligns not only the large-scale poses, but also high-resolution deformable details, in a unified framework. Using large-scale alignment enables us to solve a template-based energy minimization problem through pure Euclidean measurement. Fine-scale features are aligned by firstly computing crest lines for both the intermediately registered mesh and the target, and then evaluating the shape descriptors at the feature points, followed by a graph matching procedure to achieve a global optimization of the closest point matching. Experiments show that our method is effective and robust in preserving the quality of the source, while matching the fine-scale details of the target. © 2012 Elsevier Ltd. All rights reserved.

关键词： Deformation

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A fast mode decision algorithm for multiview video coding

A fast mode decision algorithm for multiview video coding

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2010 3rd International Congress on Image and Signal Processing, CISP 2010

作者： Ai, Mingjing Wang, Jingke State Key Laboratory of Virtual Reality Technology and Systems Beihang University China

ISBN: (纸本)9781424465149

In this paper, a fast mode decision algorithm for multi-view video coding (MVC) is proposed. When implementing MVC, one of the most critical problems is heavy computational complexity caused by the large amount of information in multi-view sequences. Hence, a fast algorithm is essential. To reduce computational complexity, a fast mode decision using both motion vector among views and texture characteristic is proposed to reduce encoding time. For MBs with homogeneous motion and texture, only mode of Skip and Inter16x16 are tested, and other mode sizes are skipped;for MBs with active motion or rich texture, all mode sizes are tested. Experimental results showed that compared with the full mode decision (FMD) in JMVM, the proposed algorithm is able to reduce processing time by maximumly 60-70% in estimation process, and maintain almost the same coding efficiency. ©2010 IEEE.

关键词： Computational complexity

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