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Hybrid Function Representation for Heterogeneous Objects Graph. Models (IF 1.224) Pub Date : 2021-01-22 A. Tereshin; A. Pasko; O. Fryazinov; V. Adzhiev
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Bas-relief generation from point clouds based on normal space compression with real-time adjustment on CPU Graph. Models (IF 1.224) Pub Date : 2021-01-05 Jianhui Nie; Wenkai Shi; Ye Liu; Hao Gao; Feng Xu; Zhaochen Zhang
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Quasi-area functional for the Plateau–Bézier problem Graph. Models (IF 1.224) Pub Date : 2020-10-29 Yong-Xia Hao
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Surface-based computation of the Euler characteristic in the cubical grid Graph. Models (IF 1.224) Pub Date : 2020-10-27 Lidija Čomić; Paola Magillo
For well-composed (manifold) objects in the 3D cubical grid, the Euler characteristic is equal to half of the Euler characteristic of the object boundary, which in turn is equal to the number of boundary vertices minus the number of boundary faces. We extend this formula to arbitrary objects, not necessarily well-composed, by adjusting the count of boundary cells both for vertex- and for face-adjacency
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Stabilized blendshape editing using localized Jacobian transpose descent Graph. Models (IF 1.224) Pub Date : 2020-10-22 Ozan Cetinaslan; Verónica Orvalho
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Novel hierarchical strategies for SPH-centric algorithms on GPGPU Graph. Models (IF 1.224) Pub Date : 2020-08-17 Kemeng Huang, Zipeng Zhao, Chen Li, Changbo Wang, Hong Qin
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A rasterized ray-tracer pipeline for real-time, multi-device sonar simulation Graph. Models (IF 1.224) Pub Date : 2020-08-17 Rômulo Cerqueira, Tiago Trocoli, Jan Albiez, Luciano Oliveira
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Cumuliform cloud formation control using parameter-predicting convolutional neural network Graph. Models (IF 1.224) Pub Date : 2020-08-08 Zili Zhang, Yue Ma, Yunfei Li, Frederick W.B. Li, Hubert P.H. Shum, Bailin Yang, Jing Guo, Xiaohui Liang
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Parallel hybrid mesh adaptation by refinement and coarsening Graph. Models (IF 1.224) Pub Date : 2020-07-30 Jing Tang, Pengcheng Cui, Bin Li, Yaobin Zhang, Hang Si
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A review on crowd simulation and modeling Graph. Models (IF 1.224) Pub Date : 2020-07-27 Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, Jie Hu
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DeepPipes: Learning 3D pipelines reconstruction from point clouds Graph. Models (IF 1.224) Pub Date : 2020-07-03 Lili Cheng, Zhuo Wei, Mingchao Sun, Shiqing Xin, Andrei Sharf, Yangyan Li, Baoquan Chen, Changhe Tu
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WallNet: Reconstructing General Room Layouts from RGB Images Graph. Models (IF 1.224) Pub Date : 2020-06-04 Jiahui Huang, Zheng-Fei Kuang, Fang-Lue Zhang, Tai-Jiang Mu
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Real-time hair simulation with heptadiagonal decomposition on mass spring system Graph. Models (IF 1.224) Pub Date : 2020-06-03 Jianwei Jiang, Bin Sheng, Ping Li, Lizhuang Ma, Xin Tong, Enhua Wu
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Defeating lag in network-distributed physics simulations Graph. Models (IF 1.224) Pub Date : 2020-05-26 Loren Peitso, Don Brutzman
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A recommendation dashboard utilising micro-filter visualisations: An evaluation and investigation of applicability on mobile devices Graph. Models (IF 1.224) Pub Date : 2020-05-24 Gerwald Tschinkel
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Full-body motion capture for multiple closely interacting persons Graph. Models (IF 1.224) Pub Date : 2020-05-22 Kun Li, Yali Mao, Yunke Liu, Ruizhi Shao, Yebin Liu
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Human-centric metrics for indoor scene assessment and synthesis Graph. Models (IF 1.224) Pub Date : 2020-05-21 Qiang Fu, Hongbo Fu, Hai Yan, Bin Zhou, Xiaowu Chen, Xueming Li
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Mapping two-dimensional plots to a spherical surface using elliptical grid mapping Graph. Models (IF 1.224) Pub Date : 2020-05-12 Naoki Kita, Grégoire Cliquet, Kazunori Miyata
In this paper, we present a technique that maps 2D plots to a spherical surface. We project 2D plots as large as possible while minimizing distortions. To accomplish this projection, we employ elliptical grid mapping, which maps points on a cube to those on a sphere. To determine the largest projection from points on the 2D plot to the cube, we find the largest projection inside an unfolded cube pattern
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A dynamic and adaptive scheme for feature-preserving mesh denoising Graph. Models (IF 1.224) Pub Date : 2020-05-06 Yan Xing, Yeyuan He, Lei He, Wenshu Zha, Jieqing Tan
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Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space Graph. Models (IF 1.224) Pub Date : 2020-04-30 Jianda Zhang, Chunpeng Li, Qiang Song, Lin Gao, Yu-Kun Lai
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Skeletal saliency map computation based on projection symmetry analysis Graph. Models (IF 1.224) Pub Date : 2020-04-27 Yuting Wang, Shiqing Xin, Shanshan Gao, Yuanfeng Zhou
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A discrete projection analogue to Pick’s theorem Graph. Models (IF 1.224) Pub Date : 2020-04-06 Matthew Ceko, Imants Svalbe, Timothy Petersen
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Barycentric convolution surfaces based on general planar polygon skeletons Graph. Models (IF 1.224) Pub Date : 2020-04-06 Xiaoqiang Zhu, Chenze Song, Mengyao Zhu, Xiangyang Wang, Lihua You, Xiaogang Jin
Using barycentric coordinates for thickness interpolation, we present a novel polygonal skeleton based convolution surface approximation method with varying radii. Given the prescribed radii of an arbitrary planar polygonal skeleton, we first employ a smooth interior mean value coordinate interpolation approach to calculate the thickness at each projection position in the polygonal plane. Then a local
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Dynamic particle partitioning SPH model for high-speed fluids simulation Graph. Models (IF 1.224) Pub Date : 2020-03-19 Yang Gao, Zhong Zheng, Jin Li, Shuai Li, Aimin Hao, Hong Qin
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Morphological evaluation of closed planar curves and its application to aesthetic evaluation Graph. Models (IF 1.224) Pub Date : 2020-03-15 Takeo Kato, Taishi Matsumoto
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Proximity-aware multiple meshes decimation using quadric error metric Graph. Models (IF 1.224) Pub Date : 2020-02-25 Anahid Ghazanfarpour, Nicolas Mellado, Chems E. Himeur, Loïc Barthe, Jean-Pierre Jessel
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Robust dimensionality reduction for data visualization with deep neural networks Graph. Models (IF 1.224) Pub Date : 2020-02-17 Martin Becker, Jens Lippel, André Stuhlsatz, Thomas Zielke
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Sketching Manipulators for Localized Blendshape Editing Graph. Models (IF 1.224) Pub Date : 2020-01-15 Ozan Cetinaslan, Verónica Orvalho
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Composing customized web 3D animations with semantic queries Graph. Models (IF 1.224) Pub Date : 2019-12-16 Jakub Flotyński, Krzysztof Walczak, Marcin Krzyszkowski
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Semantic based autoencoder-attention 3D reconstruction network Graph. Models (IF 1.224) Pub Date : 2019-11-09 Fei Hu, Long Ye, Wei Zhong, Li Fang, Yun Tie, Qin Zhang
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 methods on single-view 3D reconstruction always lack marginal voxels and miss obvious semantic information. To tackle these problem, we propose Semantic Autoencoder-Attention Network (SAAN) for
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Real-virtual consistent traffic flow interaction Graph. Models (IF 1.224) Pub Date : 2019-11-05 Xin Yang, Yuliang Wang, Shuai Li, Xinglin Piao, Baocai Yin, Qiang Zhang, Dongsheng Zhou, Xiaopeng Wei
Traffic simulation has become an efficient tool, with the assistance of computer visualizing techniques, to solve traffic issues such as traffic congestion, network design, and similar problems. Properly controlling simulated traffic flow and modeling each vehicle’s irregular behaviors are key issues in the traffic simulation field. In this paper, we introduce real vehicle trajectories as a data-driven
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An overview of generalization techniques for street networks Graph. Models (IF 1.224) Pub Date : 2019-11-01 O. Pueyo, X. Pueyo, G. Patow
Generalization of 2D city layouts is a relevant operation common to Computer Graphics and GIS, whose goal is to generate simplified representations of street networks. However, most of the contributions in this area belong to the GIS literature, which we intend to bring closer to the CG community. In this paper we propose a threefold characterization of the algorithms dedicated to generic generalization
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Surfaces of revolution with moving axes and angles Graph. Models (IF 1.224) Pub Date : 2019-10-25 Haohao Wang, Ron Goldman
A surface of revolution with moving axes and angles is a rational tensor product surface generated from two rational space curves by rotating one curve (the directrix) around vectors and angles generated by the other curve (the director). Here we introduce these new kinds of rational generalized surfaces of revolution, provide some interesting examples, and investigate their algebraic and geometric
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A non-stationary Catmull–Clark subdivision scheme with shape control Graph. Models (IF 1.224) Pub Date : 2019-09-23 Baoxing Zhang, Hongchan Zheng, Weijie Song
In this paper, a non-stationary Catmull–Clark subdivision scheme is presented which enables the user to change the shape of the surface obtained from a given initial mesh. Such a non-stationary subdivision scheme is constructed by taking tensor product of a properly modified cubic exponential B-spline scheme in the regular mesh and giving suitable rules in the neighborhoods of extraordinary points
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A greedy region growing algorithm for anisotropic stretch adaptive triangulation of geometry images Graph. Models (IF 1.224) Pub Date : 2019-09-16 Ulug Bayazit
The geometry image representation is a remeshing of an irregular triangle surface mesh onto a rectangular grid of points and facilitates the processing of surface geometry. Its connectivity is commonly generated by splitting each rectangular quad of grid points along the shorter diagonal. However, this simple approach typically yields skinny triangles on the surface when the underlying local surface
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A subdivision scheme for unstructured quadrilateral meshes with improved convergence rate for isogeometric analysis Graph. Models (IF 1.224) Pub Date : 2019-09-14 Yue Ma, Weiyin Ma
This paper presents a subdivision scheme for unstructured quadrilateral meshes with improved convergence rates in extraordinary regions for isogeometric analysis compared with that of Catmull–Clark and related tuned subdivision schemes. The new subdivision stencils are first constructed to ensure C1 continuity with bounded curvature at extraordinary positions. The eigenbasis functions corresponding
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Techniques for improved CityGML models Graph. Models (IF 1.224) Pub Date : 2019-09-12 Steffen Goebbels, Regina Pohle-Fröhlich
This paper deals with some techniques that can be used to improve quality and geometric consistency of data driven 3D city models. It focuses on two practical tasks with respect to roof polygons: finding better edges and planarization. To increase the quality of edges, models are merged with true orthophotos and cadastral data. With mixed integer linear programs, the number of right angles and symmetry
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de Boor-like evaluation algorithm for Analysis-suitable T-splines Graph. Models (IF 1.224) Pub Date : 2019-09-11 Hongmei Kang, Xin Li
Analysis-suitable T-splines form a practically useful subset of T-splines. They maintain the design flexibility of T-splines with an efficient and highly localized refinement capability, while preserving the important analysis-suitable mathematical properties of the NURBS basis. The present paper proposes a new evaluation algorithm for analysis-suitable T-splines. The algorithm is based on the control
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3D skeleton transfer for meshes and clouds Graph. Models (IF 1.224) Pub Date : 2019-07-30 Çağlar Seylan, Yusuf Sahillioğlu
We present a curve-skeleton extraction method in the form of curve-skeleton transfer from the source shape to the target. The shapes we deal with need to be in correspondence. They are discretized as meshes embedded in 3D and are not necessarily watertight. They can even be in arbitrary topology, and furthermore be disconnected point clouds. Our method associates the source skeleton with the source
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RELIGHT: A compact and accurate RTI representation for the web Graph. Models (IF 1.224) Pub Date : 2019-07-30 Federico Ponchio, Massimiliano Corsini, Roberto Scopigno
Relightable images have been widely used as a valuable tool in Cultural Heritage (CH) artifacts, including coins, bas-reliefs, paintings, and epigraphs. Reflection Transformation Imaging (RTI), a commonly used type of relightable images, consists of a per-pixel function which encodes the reflection behavior, estimated from a set of digital photographs acquired from a fixed view. Web visualisation tools
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Service-oriented semantic enrichment of indoor point clouds using octree-based multiview classification Graph. Models (IF 1.224) Pub Date : 2019-07-27 Vladeta Stojanovic, Matthias Trapp, Rico Richter, Jürgen Döllner
The use of Building Information Modeling (BIM) for Facility Management (FM) in the Operation and Maintenance (O&M) stages of the building life-cycle is intended to bridge the gap between operations and digital data, but lacks the functionality of assessing the state of the built environment due to non-automated generation of associated semantics. 3D point clouds can be used to capture the physical
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Learning semantic abstraction of shape via 3D region of interest Graph. Models (IF 1.224) Pub Date : 2019-07-22 Haiyue Fang, Xiaogang Wang, Zheyuan Cai, Yahao Shi, Xun Sun, Shilin Wu, Bin Zhou
In this paper, we focus on the two tasks of 3D shape abstraction and semantic analysis. This is in contrast to current methods, which focus solely on either 3D shape abstraction or semantic analysis. In addition, previous methods have had difficulty producing instance-level semantic results, which has limited their application. We present a novel method for the joint estimation of a 3D shape abstraction
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Data-driven weight optimization for real-time mesh deformation Graph. Models (IF 1.224) Pub Date : 2019-06-22 Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Shihong Xia, Lin Gao
3D model deformation has been an active research topic in geometric processing. Due to its efficiency, linear blend skinning (LBS) and its follow-up methods are widely used in practical applications as an efficient method for deforming vector images, geometric models and animated characters. LBS needs to determine the control handles and specify their influence weights, which requires expertise and
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Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics Graph. Models (IF 1.224) Pub Date : 2019-06-13 Sören Discher, Rico Richter, Jürgen Döllner
3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and inspection of arbitrary large 3D point clouds. Our approach is able to render 3D point clouds with billions of points using spatial data structures and level-of-detail representations. Point-based
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Near support-free multi-directional 3D printing via global-optimal decomposition Graph. Models (IF 1.224) Pub Date : 2019-06-11 Yisong Gao, Lifang Wu, Dong-Ming Yan, Liangliang Nan
In 3D printing, it is critical to use as few as possible supporting materials for efficiency and material saving. Multiple model decomposition methods and multi-DOF (degrees of freedom) 3D printers have been developed to address this issue. However, most systems utilize model decomposition and multi-DOF independently. Only a few existing approaches combine the two, i.e. partitioning the models for
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Efficient and realistic character animation through analytical physics-based skin deformation Graph. Models (IF 1.224) Pub Date : 2019-06-07 Shaojun Bian, Zhigang Deng, Ehtzaz Chaudhry, Lihua You, Xiaosong Yang, Lei Guo, Hassan Ugail, Xiaogang Jin, Zhidong Xiao, Jian Jun Zhang
Physics-based skin deformation methods can greatly improve the realism of character animation, but require non-trivial training, intensive manual intervention, and heavy numerical calculations. Due to these limitations, it is generally time-consuming to implement them, and difficult to achieve a high runtime efficiency. In order to tackle the above limitations caused by numerical calculations of physics-based
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Deep point-based scene labeling with depth mapping and geometric patch feature encoding Graph. Models (IF 1.224) Pub Date : 2019-05-30 Jun-Xiong Cai, Tai-Jiang Mu, Yu-Kun Lai, Shi-Min Hu
This paper presents a deep CNN approach for point-based semantic scene labeling. This is challenging because 3D point clouds do not have a canonical domain and can have complex geometry and substantial variation of sampling densities. We propose a novel framework where the convolution operator is defined on depth maps around sampled points, which captures characteristics of local surface regions. We
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Supine to prone colon registration and visualization based on optimal mass transport Graph. Models (IF 1.224) Pub Date : 2019-05-08 Ming Ma, Joseph Marino, Saad Nadeem, Xianfeng Gu
Registration and visualization of surfaces play a significant role in the engineering and medical fields. Especially in virtual colonoscopy (VC), an efficient and robust registration method between supine and prone computed tomography (CT) scans is highly desirable, due to the fact that it helps improve polyp detection rates. However, supine and prone colon registration is still a challenging task
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3D model retrieval and pose estimation for indoor images by simulating scene context Graph. Models (IF 1.224) Pub Date : 2019-05-07 Mingming Liu, Jie Guo, Yanwen Guo
In this paper we propose a single image-based 3D model retrieval and pose estimation method for indoor scenes. By simulating the scene context of the input image, our method is able to handle several challenging scenarios featuring cluttered backgrounds and severe occlusions. To use our system, the user only needs to drag a few semantic bounding boxes for the query objects. The proposed approach then
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Additive depth maps, a compact approach for shape completion of single view depth maps Graph. Models (IF 1.224) Pub Date : 2019-05-06 Po Kong Lai, Weizhe Liang, Robert Laganière
In this paper we introduce a 2D convolutional neural network (CNN) which exploits the additive depth map, a minimal representation of volume, for reconstructing occluded portions of objects captured using commodity depth sensors. The additive depth map represents the amount of depth needed to transform the input into the “back” depth map taken with a sensor exactly opposite of the input camera. A union
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Layered leaf texturing using structure-guided model Graph. Models (IF 1.224) Pub Date : 2019-04-25 Yinling Qian, Jian Shi, Hanqiu Sun, Lei Ma, Yanyun Chen, Qiong Wang, Pheng-Ann Heng
Generating natural textures is a challenging task in graphics and virtual reality. Leaf texture is an important part of natural textures. Different from many other textures with repetitive and random patterns, leaves are closely related to its botanic structures, especially veins. Appearing in forms of foliages in the wild, the variety of leaf textures produces the realism of virtual scenes. In this
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Liquid-solid interaction sound synthesis Graph. Models (IF 1.224) Pub Date : 2019-04-25 Haonan Cheng, Shiguang Liu
Liquid-solid interaction produces a characteristic sound which is different from the sound of bubbly water flows. This paper explores liquid-solid interaction sound (LSIS) synthesis. The resulting LSIS consists of two components: bubble sound and impact sound, which corresponding to liquid-liquid collision and liquid-solid collision, respectively. To improve the quality of LSIS, we propose a novel
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Large-scale distributed semantic augmented reality services – A performance evaluation Graph. Models (IF 1.224) Pub Date : 2019-04-18 Dariusz Rumiński, Krzysztof Walczak
This paper presents an architecture for large-scale distributed AR services and an experimental evaluation of the main component – Semantic Augmented Reality Middleware. The architecture is based on a client-server design, which supports semantic modeling and building contextual AR presentations for a large number of users. The architecture is based on the Service Oriented Architecture (SOA) paradigm
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Spline bas-relief modeling from sketches by isogeometric analysis approach Graph. Models (IF 1.224) Pub Date : 2019-04-11 Jinlan Xu, Chengnan Ling, Gang Xu, Zhongping Ji, Timon Rabczuk
Most of the methods for digital bas-reliefs modeling are based on images or 3D models. In this paper, we propose a novel approach to construct bas-reliefs surface with isogeometric analysis from sketch curves provided by the users. Our modeling system allows the users to input the boundary sketch of a planar domain and the feature constraints of bas-relief surface, then the bas-relief is generated
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Curve and surface fitting based on the nonhomogeneous linear differential system Graph. Models (IF 1.224) Pub Date : 2019-04-11 Chong-Jun Li, Lin-Lin Xie, Wen-Bin Du
In this paper, we establish the connection between exponential representation of curve (surface) and the classical linear differential system. That is, a curve (surface) can be described by a vector-valued function X(t)=eAtX0(t) (X(s,t)=eAtX0(s,t)), which can be viewed as a solution of the ordinary (partial) linear differential system X˙(t)=AX(t)+f(t) (∂X(s,t)∂t=AX(s,t)+f(s,t)). Further, we propose
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Noisy gradient meshes: Augmenting gradient meshes with procedural noise Graph. Models (IF 1.224) Pub Date : 2019-04-02 Gerben J. Hettinga, Rowan van Beckhoven, Jiří Kosinka
We extend the gradient mesh vector graphics primitive with procedural noise functions. Specifically, we couple Perlin, Worley and Gabor noise to the gradient mesh. We allow local parameters controlling the noise functions to be defined at the vertices of the mesh. The parameters are interpolated along with the geometry similarly to how colour is interpolated in an ordinary gradient mesh, allowing for
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Computing discrete Morse complexes from simplicial complexes Graph. Models (IF 1.224) Pub Date : 2019-03-30 Ulderico Fugacci, Federico Iuricich, Leila De Floriani
We consider the problem of efficiently computing a discrete Morse complex on simplicial complexes of arbitrary dimension and very large size. Based on a common graph-based formalism, we analyze existing data structures for simplicial complexes, and we define an efficient encoding for the discrete Morse gradient on the most compact of such representations. We theoretically compare methods based on reductions
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Using curvature bounds towards collision free 5-axis tool-paths Graph. Models (IF 1.224) Pub Date : 2019-03-28 Ben Ezair, Gershon Elber
This paper presents how freeform surface properties can be estimated through bounding, rather than sampling. Bounding surface positions using the control mesh, and bounding surface normals using normal cones, are both well known procedures. In this paper, we add to these, a procedure to bound the normal curvature values of a surface. We then show how collision free 5-axis tool-paths for CNC machining
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Graph visual rhythms in temporal network analyses Graph. Models (IF 1.224) Pub Date : 2019-03-15 Daniele C. Uchoa Maia Rodrigues, Felipe A. Moura, Sergio Augusto Cunha, Ricardo da S. Torres
Graphs are widely used to conceptually represent objects and their relations in several applications. Time-evolving graphs, usually referred to as temporal or dynamic graphs, have been used to encode how objects and their relations change over time. In this paper, we introduce a new image-based representation, named Graph Visual Rhythm (GVR), proposed to encode visually temporal network changes. GVR
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