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2017 International Conference on Virtual Reality and Visualization (ICVRV)最新文献

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Primitive Shape Extraction for Objects in Point Cloud 点云中物体原始形状的提取
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00037
X. Ning, Fan Li, Yinghui Wang, W. Hao
Shape plays an important role in object recognition and shape modeling. In this paper, a comprehensive method is proposed to analyze and implement crucial primitive shape extraction including line, plane, cylinder and sphere. Linear shape is extracted by the proposed alpha-shape based method, and an algorithm that robustly computes the boundary of holes from incomplete objects is presented. The plane primitive shape is extracted by analyzing neighboring point distribution and the parameters that define the primitive shape. Reasonable primitive shape features is extracted accurately for further shape modeling. Experimental results demonstrate that our method could deal with different objects efficiently in different shapes.
形状在物体识别和形状建模中起着重要的作用。本文提出了一种综合分析和实现关键原始形状提取的方法,包括线、面、柱和球。采用基于alpha形状的方法提取直线形状,并提出了一种从不完整物体中鲁棒计算孔洞边界的算法。通过分析邻近点的分布和定义平面原始形状的参数,提取平面原始形状。准确提取合理的原始形状特征,为进一步的形状建模提供依据。实验结果表明,该方法可以有效地处理不同形状的不同物体。
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引用次数: 3
VISNET: A Study Case for Visualize Sensor Ad-Hoc Networks Behavior 可视化传感器自组织网络行为的研究案例
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00112
Jorge González, Xun Luo, Gustavo Alomía, Claudia Zúñiga, Yi Chen
Ad-hoc sensor networks are difficult to maintain and follow, due to the facts that networks are autonomous, and nodes are usually located in a remote place. The need to monitor and keep records of the operation of these networks motivates us to develop and implement a tool that allows not only monitoring the network but also using the data circulating in it to provide useful information to a community, either about the conditions of the environment, climate or other type of information that can be captured through sensors. This paper proposes a way to implement a visualization tool and shows the experiments performed over a wireless Ad-hoc network using temperature and humidity sensors.
Ad-hoc传感器网络很难维护和跟踪,因为网络是自治的,节点通常位于偏远的地方。监控和记录这些网络运行的需要促使我们开发和实施一种工具,不仅可以监控网络,还可以利用其中的数据为社区提供有用的信息,这些信息可以是关于环境条件、气候或其他类型的信息,这些信息可以通过传感器捕获。本文提出了一种实现可视化工具的方法,并展示了使用温度和湿度传感器在无线自组织网络上进行的实验。
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引用次数: 0
Lightweight and Intelligent Real-Time Fire Evacuation on Mobile-WebVR Building 移动webvr建筑轻量化智能实时消防疏散
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00065
Feng-ting Yan, Yonghao Hu, Jinyuan Jia, Qinghua Guo, Hehua Zhu
Mobile-WebVR based real-time fire evacuation suffers from the limitation of the cache and the computing of the Web-browser. This paper proposes a lightweight and intelligent solution for popular fire evacuation. Firstly, lightweighting the scenario objects; secondly, lightweighting the collision detection of avatars; thirdly, lightweighting the optimal path planning for real-time evacuation. At last, a lightweight evacuation system is created with fire flattering the Mobile-WebVR (Lightweighting Fire Evacuation system, LFE system). The system uses the real data (the static scenario metro station BIM data, and the dynamic smoke data). The object data are reduced to 0.3%; 220 avatars as agents take part the fire evacuation on Mobile-Web showing the FPS value is 26; the heuristic ACO (Ant Colony Optimization) is used in the virtual reality metro station for each agent to plane path, and the LFE path planning is real-time and an effective solution.
基于移动webvr的实时火灾疏散受到web浏览器缓存和计算能力的限制。本文提出了一种轻量化、智能化的火灾疏散解决方案。首先,轻量化场景对象;其次,轻量化虚拟角色的碰撞检测;第三,轻量化实时疏散最优路径规划。最后,利用Mobile-WebVR (lightweight fire evacuation system, LFE system)构建了一个轻型消防疏散系统。系统采用真实数据(静态场景地铁站BIM数据、动态烟雾数据)。对象数据减少到0.3%;220个化身作为代理参与移动网络上的火灾疏散,FPS值为26;将启发式蚁群算法应用于虚拟现实地铁车站中各智能体到平面路径的规划,实现了LFE路径规划的实时性和有效性。
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引用次数: 2
Spatial-Temporal Editing for Dynamic Hair Data 动态毛发数据的时空编辑
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00077
Yijie Wu, Yongtang Bao, Yue Qi
Hair plays a unique role in depicting a person's character. Currently, most hair simulation techniques require a lot of computation time, or rely on complex capture settings. Editing and reusing of existing hair model data are very important topics in computer graphics. In this paper, we present a spatialtemporal editing technique for dynamic hair data. This method can generate a longer or even infinite length sequence of hair motion according to its motion trend from a short input. Firstly, we build spatial-temporal neighborhood information about input hair data. We then initialize the output according to the input exemplar and output constraints, and optimize the output through iterative search and assignment steps. To make the method be more efficient, we select a sparse part of the hair as the guide hair to simplify the model, and interpolate a full set of hair after the synthesis. Results show that our method can deal with a variety of hairstyles and different way of motions.
头发在描绘一个人的性格方面起着独特的作用。目前,大多数毛发模拟技术需要大量的计算时间,或者依赖于复杂的捕获设置。现有毛发模型数据的编辑和重用是计算机图形学中的一个重要课题。本文提出了一种动态毛发数据的时空编辑技术。该方法可以根据毛发的运动趋势从短输入生成较长甚至无限长的毛发运动序列。首先,构建输入毛发数据的时空邻域信息;然后,我们根据输入范例和输出约束初始化输出,并通过迭代搜索和分配步骤优化输出。为了提高方法的效率,我们选择头发稀疏的一部分作为导毛来简化模型,并在合成后插值一套完整的头发。结果表明,该方法可以处理各种发型和不同的动作方式。
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引用次数: 0
Real-Time Augmented Reality with Occlusion Handling Based on RGBD Images 基于RGBD图像的实时增强现实遮挡处理
Pub Date : 2017-10-01 DOI: 10.1109/icvrv.2017.00069
Xiaozhi Guo, Chen Wang, Yue Qi
Augmented Reality (AR) is one of the latest developments in human-computer interaction technology. It aims to generate illusions from seamless fusion of virtual objects and real world. Typical AR system requires two basic parts: three-dimensional registration and real-virtual fusion. Occlusion handling is crucial for visual realism. To optimize visual realism, we generated a real-time systematic architecture to operate occlusion handling. The architecture is based on RGBD images, and it consists of three parts: real-time camera tracking system, 3D reconstruction system and AR fusion system. Specifically, we used a two-pass scheme strategy to execute the AR system. The first pass tracks camera poses timely at video rate, which allows the reconstruction results be updated and visualized correspondingly during the scanning. The second pass takes place simultaneously to handle occlusion between virtual objects and real scene according to camera pose. Finally, the render results of virtual objects and the color images are fused to generate AR contents. Our results indicate that this method is stable and precise for occlusion handling, and can effectively improve realism in AR system.
增强现实(AR)是人机交互技术的最新发展之一。它旨在通过虚拟物体与现实世界的无缝融合产生幻觉。典型的AR系统需要两个基本部分:三维配准和实虚拟融合。遮挡处理对于视觉真实感至关重要。为了优化视觉真实感,我们生成了一个实时系统架构来操作遮挡处理。该体系结构基于RGBD图像,由实时摄像机跟踪系统、三维重建系统和AR融合系统三部分组成。具体来说,我们使用了一个双通道方案策略来执行AR系统。第一遍以视频速率及时跟踪摄像机姿势,从而允许在扫描过程中相应地更新和可视化重建结果。第二个通道同时进行,根据相机姿势处理虚拟物体和真实场景之间的遮挡。最后,将虚拟物体的渲染结果与彩色图像融合生成AR内容。实验结果表明,该方法具有稳定、精确的遮挡处理效果,能够有效提高AR系统的真实感。
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引用次数: 2
Multi-person Virtual Rehearsal System Based on Optical Location Tracking 基于光学位置跟踪的多人虚拟排练系统
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00116
Dongjin Huang, Hejuan Li, Youdong Ding, Wen Tang, Houchao Zu, Haiwei Zhang
Rehearsal system is the latest form of 3D technology applications in the field of film and television. In this paper, we propose a novel multi-person virtual rehearsal system based on passive optical motion capture technology. A new fast location algorithm for human motion gesture is presented, which combines the traditional forward kinematic algorithm with the location tracking algorithm of markers, and uses noise elimination filter method and Euclidean distance to stability and evaluation of markers data. The experimental result shows that this system, focusing on the interaction of actors and scenes, lights, cameras, etc, could realize the shooting test and scene rehearsal of VR films well with high capture precision, tracking stability and real-time performance, and improving the efficiency and quality of VR films greatly.
排演系统是3D技术在影视领域应用的最新形式。本文提出了一种基于被动光学动作捕捉技术的多人虚拟排练系统。提出了一种新的人体动作手势快速定位算法,该算法将传统的正运动学算法与标记点的位置跟踪算法相结合,利用消噪滤波方法和欧氏距离对标记点数据进行稳定性和评价。实验结果表明,该系统以演员与场景、灯光、摄像机等的交互为核心,能够很好地实现VR电影的拍摄测试和场景排练,具有较高的捕捉精度、跟踪稳定性和实时性,极大地提高了VR电影的制作效率和质量。
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引用次数: 0
Topology and Shape Preserved Lightweight of Shell Models Utilizing Heat Diffusion 利用热扩散的壳体模型的拓扑和形状保持轻量化
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00026
Shengfa Wang, Longfei Zhang, Nannan Li, Baojun Li, Zhongxuan Luo
Lightweight is one of the most important research subjects in modern manufacturing. However, the research on lightweight of shell models is rare, and most limited in topological changes. This paper proposes a topology and shape preserved lightweight framework of shell models that consists of model analysis, lightweight modeling and analysis, and 3D printing and practical validation in an optimum iterative procedure. Specifically, firstly, both geometric features and empirical features are introduced to construct a frame structure. Secondly, a heat diffusion is exploited to simulate the stress distribution due to two reasons, one is that they have the similar physical transmissibility, the other is that the heat diffusion is smooth, and it guarantees that the thickness variation is smooth and natural without restriction on the degrees of freedom. Then, a local iteration consists of local heat simulation and stress analysis is utilized to further improve the efficiency. Finally, we use 3D printer to manufacture testing models, and apply them to practical verification and feedback. Our extensive experiments have exhibited many attractive properties, including the flexibility and freedom of the thickness variation, the effectiveness and credibility of the lightweight.
轻量化是现代制造业的重要研究课题之一。然而,关于壳模型轻量化的研究很少,而且大多局限于拓扑变化。本文提出了一种保持拓扑和形状不变的壳体模型轻量化框架,该框架由模型分析、轻量化建模与分析、3D打印和优化迭代验证三部分组成。具体而言,首先引入几何特征和经验特征来构造框架结构;其次,利用热扩散来模拟应力分布的原因有两个,一是它们具有相似的物理传递率,二是热扩散是光滑的,它保证了厚度变化是光滑自然的,不受自由度的限制。然后,利用局部热模拟和应力分析组成的局部迭代进一步提高效率。最后,利用3D打印机制作测试模型,并将其应用于实际验证和反馈。我们的大量实验显示了许多有吸引力的特性,包括厚度变化的灵活性和自由度,轻量化的有效性和可靠性。
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引用次数: 2
Fractional Differential Filter for Stereo Matching 用于立体匹配的分数阶差分滤波器
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00049
Xianjun Han, Hongyu Yang
It is known that weak texture region have become the major barriers to the development of stereo matching. The lack of appropriate feature will make it difficult to find another corresponding pixel also have no feature. The fractional differential-based approach for image filtering have the capability of nonlinearly enhancing complex texture details obvious better than by traditional integral-based algorithms. In this article, the cost aggregation consists of two pieces: the weighted guided image filtering for color-scale; the image after fractional differential filtering as the guidance image used to guided image filtering (GIF) for grayscale. The aggregated values of two scales will represent the edge and weak texture area, respectively. Finally, a disparity refinement measure based on fast weighted median filtering is applied in this paper too. Performance evaluation on Middlebury data sets shows that the proposed algorithm can obtain high-quality, especially in weak texture region. It's an attractive stereo matching solution in practice for both speed and accuracy.
目前,弱纹理区域已成为制约立体匹配技术发展的主要障碍。缺少合适的特征会使得很难找到另一个对应的同样没有特征的像素。基于分数阶微分的图像滤波方法对复杂纹理细节的非线性增强能力明显优于传统的基于积分的算法。在本文中,成本聚合包括两个部分:针对颜色尺度的加权引导图像滤波;将经过分数阶微分滤波的图像作为引导图像,用于引导图像滤波(GIF)的灰度化。两个尺度的聚合值将分别代表边缘和弱纹理区域。最后,本文还提出了一种基于快速加权中值滤波的视差细化方法。对Middlebury数据集的性能评估表明,该算法可以获得高质量的图像,特别是在弱纹理区域。在实践中,它是一种有吸引力的立体匹配解决方案,在速度和准确性方面都很好。
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引用次数: 0
The Application of Coupled Three Order Cumulants' Differential Feature in Fault Diagnosis 耦合三阶累积量的微分特征在故障诊断中的应用
Pub Date : 2017-10-01 DOI: 10.1109/icvrv.2017.00085
Wu Wenbing, Xiong Jinquan
Complex three order cumulant has different definition forms. Different forms conclude different information. For studying the effection of frequency in the coupled signals to fault diagnosis, the differential method to the three order cumulants of coupled signals is adopted. By using the differential of complex three order cumulants before and after respectively, then their 1 1/2 dimensional spectrum calculated, and the results are used to fault diagnosis. The experimental results show that, the increase frequency item in three order cumulants after differentiated impacts on the results of fault diagnosis, and the degree of effection is relative to the differential times. And the correct rate of fault diagnosis can be raised by changing the differential times of three order cumulants.
复三阶累积量有不同的定义形式。不同的形式总结出不同的信息。为了研究耦合信号中频率对故障诊断的影响,对耦合信号的三阶累积量采用微分法。分别利用复三阶累积量前后的微分,计算其1 1/2维谱,并将结果用于故障诊断。实验结果表明,三阶累积量的频次增加项对故障诊断结果有不同程度的影响,且影响程度与不同次数有关。通过改变三阶累积量的微分次数,可以提高故障诊断的正确率。
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引用次数: 0
Trcollage: Efficient Image Collage Using Tree-Based Layer Reordering Trcollage:高效的图像拼贴使用基于树的图层重新排序
Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00120
Shiguang Liu, Xiaobing Wang, Ping Li, Jun-yong Noh
This paper proposes an efficient image collage approach called TrCollage using tree-based layer reordering, which takes into account not only the efficiency of the collage processing but also the quality of the final collage effects. Besides, our tree-based TrCollage also meets the enhanced demands from the rapid development of mobile technology, which call for robust solutions for efficient picture collage without computation-intensive processing, e.g. graph-cut, saliency detection. The experimental results have shown the efficiency and effectiveness of our tree-based TrCollage with high-quality image collage effects applying layer reordering.
本文提出了一种高效的图像拼贴方法,称为TrCollage,该方法使用基于树的图层重新排序,不仅考虑了拼贴处理的效率,而且考虑了最终拼贴效果的质量。此外,我们基于树的TrCollage也满足了移动技术快速发展的需求,这需要强大的解决方案来实现高效的图像拼贴,而无需计算密集型的处理,例如图形切割,显著性检测。实验结果证明了基于树的TrCollage算法的效率和有效性,并应用图层重排序实现了高质量的图像拼贴效果。
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引用次数: 1
期刊
2017 International Conference on Virtual Reality and Visualization (ICVRV)
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