• Extreme Feature Regions for Image Matching 

  Fan, Baijiang; Rao, Yunbo; Pu, Jiansu; Deng, Jianhua (The Eurographics Association, 2018)

  Extreme feature regions are increasingly critical for many image matching applications on affine image-pairs. In this paper, we focus on the time-consumption and accuracy of using extreme feature regions to do the ...

• A Deep Learned Method for Video Indexing and Retrieval 

  Men, Xin; Zhou, Feng; Li, Xiaoyong (The Eurographics Association, 2018)

  In this paper, we proposed a deep neural network based method for content based video retrieval. Our approach leveraged the deep neural network to generate the semantic information and introduced the graph-based storage ...

• Direct Limit Volumes: Constant-Time Limit Evaluation for Catmull-Clark Solids 

  Altenhofen, Christian; Müller, Joel; Weber, Daniel; Stork, André; Fellner, Dieter W. (The Eurographics Association, 2018)

  We present a novel approach for efficient limit volume evaluation on Catmull-Clark (CC) subdivision solids. Although several analogies exist between subdivision surfaces and subdivision volumes, extending Stam's limit ...

• Light-Field DVR on GPU for Streaming Time-Varying Data 

  Ganter, David; Alain, Martin; Hardman, David; Smolic, Aljosa; Manzke, Michael (The Eurographics Association, 2018)

  Direct Volume Rendering (DVR) of volume data can be a memory intensive task in terms of footprint and cache-coherency. Rayguided methods may not be the best option to interactively render to light-fields due to feedback ...

• Gauss-Seidel Progressive Iterative Approximation (GS-PIA) for Loop Surface Interpolation 

  Wang, Zhihao; Li, Yajuan; Ma, Weiyin; Deng, Chongyang (The Eurographics Association, 2018)

  We propose a Gauss-Seidel progressive iterative approximation (GS-PIA) method for Loop subdivision surface interpolation by combining classical Gauss-Seidel iterative method for linear system and progressive iterative ...

• Robust Material Graphs for Volume Rendering 

  Sharma, Ojaswa; Arora, Tushar; Khattar, Apoorv (The Eurographics Association, 2018)

  A good transfer function in volume rendering requires careful consideration of the materials present in a volume. In this work we propose a graph based method that considerably reduces manual effort required in designing ...

• A Visual Analytics Approach for Traffic Flow Prediction Ensembles 

  Kong, Kezhi; Ma, Yuxin; Ye, Chentao; Lu, Junhua; Chen, Xiqun; Zhang, Wei; Chen, Wei (The Eurographics Association, 2018)

  Traffic flow prediction plays a significant role in Intelligent Transportation Systems (ITS). Due to the variety of prediction models, the prediction results form an intricate structure of ensembles and hence leave a ...

• Progressive 3D Scene Understanding with Stacked Neural Networks 

  Song, Youcheng; Sun, Zhengxing (The Eurographics Association, 2018)

  3D scene understanding is difficult due to the natural hierarchical structures and complicated contextual relationships in the 3d scenes. In this paper, a progressive 3D scene understanding method is proposed. The scene ...

• 3D VAE-Attention Network: A Parallel System for Single-view 3D Reconstruction 

  Hu, Fei; Yang, Xinyan; Zhong, Wei; Ye, Long; Zhang, Qin (The Eurographics Association, 2018)

  3D object reconstruction from single view image is a challenge task. Due to the fact that the information contained in one isolated image is not sufficient for reasonable 3D shape reconstruction, the existing results on ...

• Modeling Detailed Cloud Scene from Multi-source Images 

  Cen, Yunchi; Liang, Xiaohui; Chen, Junping; Yang, Bailin; Li, Frederick W. B. (The Eurographics Association, 2018)

  Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one ...

• Recovering 3D Indoor Floor Plans by Exploiting Low-cost Spherical Photography 

  Pintore, Giovanni; Ganovelli, Fabio; Pintus, Ruggero; Scopigno, Roberto; Gobbetti, Enrico (The Eurographics Association, 2018)

  We present a novel approach to automatically recover, from a small set of partially overlapping panoramic images, an indoor structure representation in terms of a 3D floor plan registered with a set of 3D environment maps. ...

• Skeleton-based Generalized Cylinder Deformation under the Relative Curvature Condition 

  Ma, Ruibin; Zhao, Qingyu; Wang, Rui; Damon, James; Rosenman, Julian; Pizer, Stephen (The Eurographics Association, 2018)

  Deformation of a generalized cylinder with a parameterized shape change of its centerline is a non-trivial task when the surface is represented as a high-resolution triangle mesh, particularly when self-intersection and ...

• Anisotropic Spectral Manifold Wavelet Descriptor for Deformable Shape Analysis and Matching 

  Li, Qinsong; Liu, Shengjun; Hu, Ling; Liu, Xinru (The Eurographics Association, 2018)

  In this paper, we present a novel framework termed Anisotropic Spectral Manifold Wavelet Transform (ASMWT) for shape analysis. ASMWT comprehensively analyzes the signals from multiple directions on local manifold regions ...

• InspireMePosing: Learn Pose and Composition from Portrait Examples 

  Sheng, Bin; Jin, Yuxi; Li, Ping; Wang, Wenxiao; Fu, Hongbo; Wu, Enhua (The Eurographics Association, 2018)

  Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user's ...

• Tabby: Explorable Design for 3D Printing Textures 

  Suzuki, Ryo; Yatani, Koji; Gross, Mark D.; Yeh, Tom (The Eurographics Association, 2018)

  This paper presents Tabby, an interactive and explorable design tool for 3D printing textures. Tabby allows texture design with direct manipulation in the following workflow: 1) select a target surface, 2) sketch and ...

• Mesh Parameterization: a Viewpoint from Constant Mean Curvature Surfaces 

  Zhao, Hui; Su, Kehua; Li, Chenchen; Zhang, Boyu; Liu, Shirao; Yang, Lei; Lei, Na; Gortler, Steven J.; Gu, Xianfeng (The Eurographics Association, 2018)

  We present a unified mesh paramterization algorithm for both planar and spheric domains based on mesh deformation. Unlike previous methods, our approach can produce intermediate frames from the original to target meshes. ...

• Efficient Metropolis Path Sampling for Material Editing and Re-rendering 

  Yamaguchi, Tomoya; Yatagawa, Tatsuya; Morishima, Shigeo (The Eurographics Association, 2018)

  This paper proposes efficient path sampling for re-rendering scenes after material editing. The proposed sampling method is based on Metropolis light transport (MLT) and distributes more path samples to pixels whose values ...

• Effects of Surface Anisotropy on Perception of Car Body Attractiveness 

  Filip, Jiri; Kolafová, Martina (The Eurographics Association, 2018)

  In the automotive industry effect coatings are used to introduce customized product design, visually communicating the unique impression of a car. Industrial effect coatings systems achieve primarily a globally isotropic ...

• Bottom-up/Top-down Geometric Object Reconstruction with CNN Classification for Mobile Education 

  Guo, Ting; Cui, Rundong; Qin, Xiaoran; Wang, Yongtao; Tang, Zhi (The Eurographics Association, 2018)

  Geometric objects in educational materials are often illustrated as 2D line drawings, which results in the loss of depth information. To alleviate the problem of fully understanding the 3D structure of geometric objects, ...

• Robust and Efficient SPH Simulation for High-speed Fluids with the Dynamic Particle Partitioning Method 

  Zheng, Zhong; Gao, Yang; Li, Shuai; Qin, Hong; Hao, Aimin (The Eurographics Association, 2018)

  In this paper, our research efforts are devoted to the efficiency issue of the SPH simulation when the ratio of velocities among fluid particles is large. Specifically, we introduce a k-means clustering method into the SPH ...

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