检索结果-内蒙古大学图书馆

IEEE International Symposium on Mixed and Augmented reality Workshops (ISMARW)

作者： Shuo Yan Wenli Jiang Menghan Xiong xukun shen School of New Media Art and Design State Key Laboratory of Virtual Reality Technology and Systems Beihang University School of New Media Art and Design Beihang University

ISBN: (数字)9781728176758

ISBN: (纸本)9781728176765

Social experience is important when audience are watching movies. virtual reality (VR) movies engage audience through immersive environment and interactive narrative. However, VR headsets restrict audience to an individual experience, which disrupt the potential for shared social realities. In our study, we propose an approach to design an asynchronous social experience that allows the participant to receive other audiences' voice comments (such as their opinions, impressions or emotional reactions) in VR movies. We measured the participants' feedback on their engagement levels, recall abilities and social presence. The results showed that in VR-Voice Comment (VR-VC) movie, the audience's voice comments could affect participant's engagement and the recall of information in the scenes. The participants obtained social awareness and enjoyment at the same time. A few of them were worried mainly because of the potential auditory clutter that resulted from unpredictable voice comments. We discuss the design implications for this and directions for future research. Overall, we observe a positive tendency in watching VR-VC movie, which could be adapted for future VR movie experience.

关键词： Headphones Atmospheric measurements Prototypes Motion pictures Particle measurements User experience Information systems

来源：评论

学校读者我要写书评

暂无评论

Automatic image annotation with real-world community contributed data set

Automatic image annotation with real-world community contrib...

引用

作者： Tian, Feng shen, xukun Shang, Fuhua School of Computer and Information Technology Northeast Petroleum University DaQing163318 China School of Computing National University of Singapore Singapore119077 Singapore State Key Laboratory of Virtual Reality Technology and Systems BeiHang University Beijing100191 China

With the massive explosion of social multimedia community, social images have become very popular in our daily life. The image-associated labels are a valuable resource for automatic image annotation, but they tend to be unreliable. In this paper, we exploit the problem of image annotation from real-world community contributed images and their associated incorrect, insufficient, and personalized labels. We present SNTag, a novel semantic neighborhood learning method, on which image annotation task can be efficiently carried out in real-world scenario. First, we propose to use image-associated labels as the supervising information to guide the replenishment of training images, which enable the labels for training image not only more sufficient, but also more correct. Then, the "semantic balanced neighborhood" for image is generated, thus enabling the presence of more rare labels in image label list. Furthermore, we generate "semantic consistent neighborhood" within corresponding "semantic balanced neighborhood". The retrieved neighbor images are not only visually alike but also semantically related. Contrary to earlier work, these neighbors are retrieved from the same subspace by the integration of metric learning embedded in multiple labels and sparse reconstruction. Based on the neighbor set, we propose a novel algorithm to assign the optimal labels to the image, which is more robust to noise. We conduct extensive experiments on several standard real-world benchmark data sets downloaded from community websites. The experimental results demonstrate that it outperforms the current state-of-the-art methods. © 2017, Springer-Verlag Berlin Heidelberg.

关键词： Image annotation

来源：评论

学校读者我要写书评

暂无评论

面向控制的空天飞行器低速段动力学建模及性能折衷分析（英文）

引用

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2019年第12期20卷 893-907页

作者： Hai-dong shen Rui CAO Yan-bin LIU Fei-teng JIN Yu-ping LU College of Astronautics Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China

目的:水平起降空天飞行器需兼顾高速巡航和低速起降性能。本文旨在构建一种面向控制的空天飞行器低速段动力学建模与迭代分析流程,探究质心位置对空天飞行器稳定性及控制性能的影响,并在保证空天飞行器水平起降能力的约束下,迭代获得合... 详细信息

目的:水平起降空天飞行器需兼顾高速巡航和低速起降性能。本文旨在构建一种面向控制的空天飞行器低速段动力学建模与迭代分析流程,探究质心位置对空天飞行器稳定性及控制性能的影响,并在保证空天飞行器水平起降能力的约束下,迭代获得合理的飞行器质心位置。创新点:1.结合几何外形参数化方法、势流理论和0维混合排气涡扇发动机建模方法实现空天飞行器低速段气动/推进性能数据的快速获取;2.基于所获得的气动/推进性能数据,开展代理建模研究,获得适用于性能分析及控制器设计需要的气动力/力矩系数代理模型;3.基于可变质心的气动力/力矩系数代理模型进行空天飞行器水平起降性能分析及质心位置迭代设计。方法:1.通过形状/类型函数法建立空天飞行器几何参数化模型;2.基于势流理论和0维涡扇发动机理论快速获取空天飞行器低速段气动/推进性能数据;3.通过代理模型技术,获得不同质心位置下的飞行器气动力/力矩系数拟合表达式,并基于该表达式确定符合水平起降约束的质心位置。结论:1.空天飞行器研究中,需综合考虑高低速性能,并协调水平起降、稳定性和控制性能等多方面指标;2.本文所提出的空天飞行器概念方案,满足抬头、触地约束的质心范围在距机头65%机身长度处;3.本文所提出的面向控制建模与性能分析流程可以满足空天飞行器概念方案阶段数据快速获取、方案快速迭代优化的要求。

关键词：面向控制建模水平起降稳定性与控制分析性能折衷分析

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

GRANet: Global refinement atrous convolutional neural network for semantic scene segmentation 25

GRANet: Global refinement atrous convolutional neural networ...

引用

25th IEEE International Conference on Image Processing, ICIP 2018

作者： Feng, Zhou Yong, Hu xukun, shen State Key Laboratory of Virtual Reality Technology and Systems Beihang University China School of New Media Art and Design Beihang University China

ISBN: (纸本)9781479970612

The main problems of complex-scene understanding and semantic scene segmentation are caused by mismatched relationships, confusion categories, and inconspicuous classes. Towards above issues, we propose a global refinement atrous convolutional neural network (GRANet) for semantic scene segmentation. To enlarge the receptive field of filters, we use atrous convolution instead of the downsampling operators. To handle the challenge caused by the existence of objects at multiple scales in a scene, we adopt multiple rates atrous convolution structure. And to overcome the problem that the current semantic segmentation architecture can not make good use of global information, we propose a multiple pooling module schemes to utilize the global context information to boost the performance of our GRANet. The proposed GRANet achieves state-of-the-art performance on the SiftFlow Dataset and attains comparable performance with other state-of-the-art works on Cityscapes dataset. © 2018 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Optical flow-based motion-blurred image restoration for transmission line icing airborne monitoring

Optical flow-based motion-blurred image restoration for tran...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jin Xiao Haien Jia Xiaoguang Hu Guofeng Zhang Jieshi shen State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing P R China

Recently, image recognition-based unmanned aerial vehicle (UAV) inspection becomes a new trend for electric power transmission line inspection, for what a key issue is to acquire clearer image as much as possible. Thus this paper focus on motion-blurred image restoration of transmission line icing airborne monitoring. For the point spread function estimation, motion blur parameters can't be calculated precisely by common motion-blurred image restoration methods, thus an optical flow-based fusion method is put forward. With the motion information from the optical-flow algorithm, a more accurate point spread function is obtained. Then the improved effect of motion-blurred image restoration is verified experimentally.

关键词： Frequency-domain analysis Optical flow Image restoration Wavelet analysis Wavelet domain Noise reduction Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

DENSE OPTICAL FLOW VARIATION BASED 3D FACE RECONSTRUCTION FROM MONOCULAR VIDEO

DENSE OPTICAL FLOW VARIATION BASED 3D FACE RECONSTRUCTION FR...

引用

IEEE International Conference on Image Processing

作者： Shan Wang xukun shen Jiaqing Liu School of New Media Art and Design Beihang University Beijing State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing

This paper presents a method for reconstructing 3D face expressions from monocular video sequences. Unlike previous approaches we don't require any prior face models, nor a large collection of images with diverse variation of poses and illuminations. Instead, we leverage a monocular video sequence without any restrictions. We formulate the 3D face reconstruction as an energy minimization problem integrated with dense optical flow variation, as rigid as possible (ARAP) constraint, spatial and temporal constraints. This paper offers the first dense optical flow variational approach to the problem of 3D reconstruction of non-rigid face expressions from a monocular video. Dense optical flow variation cost substitutes for photo consistency cost to enhance the reconstruction of exaggerated expressions. A generic 3D face template mesh and a simple 3D warping algorithm allow us to reconstruct a true 3D face mesh, relax the constraints of diverse views or illuminations and also avoid the dependency of the quality of prior face models, such as the facial expressions or face races varieties limitation. Finally, we use a per-pixel shape-from-shading (SFS) algorithm to estimate the fine-scale geometry details such as wrinkles to further improve the reconstruction fidelity. Given unconstrained monocular RGB videos, our method reconstructs wrinkle-level 3D face model, without the need for any prior models or diverse capture conditions.

关键词： Three-dimensional displays Face Image reconstruction Optical imaging Solid modeling Two dimensional displays Integrated optics

来源：评论

学校读者我要写书评

暂无评论

Evaluate concurrent state machine of SysML model with Petri net

Evaluate concurrent state machine of SysML model with Petri ...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jieshi shen Lei Liu Xiaoguang Hu Guofeng Zhang Jin Xiao State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing P R China Beijing Electro-Mechanical Engineering Institute Beijing PR China

systems Modeling Language (SysML) is the extension and development of Unified Modeling Language (UML) in the field of system engineering. It is gradually applied to the architecture analysis and design of complex hardware and software systems. SysML provides a visual modeling approach in the field of systems engineering that enables a clear explanation of the system's design. However, SysML uses a semi-formal description method [1], which uses natural language to describe the constraints and detailed semantics of systems. This leads to the fact that SysML itself lacks the accurate semantics and it is difficult to conduct rigorous semantic analysis and model quality verification directly. This paper provides a method that transforms SysML state machine into Petri net in propose of overcoming the difficulty of analysis and verification under the dynamic behavior of the state machine. This method also can avoid the formal verification of SysML directly.

关键词： Petri nets Unified modeling language Solid modeling Semantics Analytical models virtual reality

来源：评论

学校读者我要写书评

暂无评论

Correction to: Physics-preserving fluid reconstruction from monocular coupling with SFS and SPH

引用

The Visual Computer 2019年第6期36卷 1259-1259页

作者： Nie, Xiaoying Hu, Yong shen, xukun State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China School of New Media Art and Design Beihang University Beijing China

The Acknowledgements section is missing in the original article. It is given below.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Semantic Scene Reconstruction Using the DenseCRF Model

Semantic Scene Reconstruction Using the DenseCRF Model

引用

International Conference on virtual reality and Visualization (ICVRV)

作者： Zhixin Ma Chong Cao xukun shen State Key Laboratory of virtual reality technology and systems Beihang University Beijing China

ISBN: (纸本)9781538626375;9781538626368

With the rapid growth of virtual reality industry, fast and accurate algorithms for scene reconstruction and understanding became the research focus in related fields. Traditional methods always consider the 3D model and scene understanding as two problems and work them out separately. In this paper, we propose a new method to reconstruct semantic 3D models from multi-view images. This method not only contains information of points in 3D space, but also builds up their relationship with pixels from images. We commit experiments on four real challenging datasets to test the effectiveness of our proposed method. The reconstruction can be directly applied to virtual reality applications, such as roaming in 3D scenes.

关键词： virtual reality Visualization

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：