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25th pacific conference on computer graphics and applications, pacific graphics 2017

作者： Zhang, Taiyou Shi, Jiajun Wang, Changbo Qin, Hong Li, Chen School of Computer Science and Software Engineering East China Normal University Shanghai China State University of New York at Stony Brook Stony BrookNY11794 United States

ISBN: (纸本)9783038680512

Most simulation of natural phenomena in graphics are physically based, oftentimes involving heat transfer, phase transition, environmental constraints, and/or a combination of the above. At the numerical level, the particle-based schemes (e.g., smooth particle hydrodynamics (SPH)) have proved to preserve subtle details while accommodating large quantity of particles and enabling complex interaction during heat transition. In this paper, we propose a novel hybrid complementary framework to faithfully model intricate details in vapor condensation while circumventing disadvantages of the existing methods. The phase transition is governed by robust heat transfer and dynamic characteristic of condensation, so that the condensed drop is precisely simulated by way of the SPH model. We introduce the dew point to ensure faithful visual simulation, as the atmospheric pressure and the relative humidity were isolated from condensation. Moreover, we design a equivalent substitution for ambient impacts to correct the heat transfer across the boundary layer and reduce the quantity of air particles being utilized. To generate plausible high-resolution visual effects, we extend the standard height map with more physical control and construct arbitrary shape of surface via the reproduction on normal map. We demonstrate the advantages of our framework in several fluid scenes, including vapor condensation on a mirror and some more plausible contrasts. © 2017 The Author(s) Eurographics Proceedings © 2017 The Eurographics Association.

关键词： Heat transfer

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Accelerating graph-based path planning through waypoint clustering 23

Accelerating graph-based path planning through waypoint clus...

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23rd pacific conference on computer graphics and applications, PG 2015

作者： Wardhana, N.M. Johan, H. Seah, H.S. Multi-Platform Game Innovation Centre Nanyang Technological University Singapore School of Computer Engineering Nanyang Technological University Singapore Fraunhofer IDM@NTU Nanyang Technological University Singapore

ISBN: (纸本)9783905674965

Modern computer graphics applications commonly feature very large virtual environments and diverse characters which perform different kinds of motions. To accelerate path planning in such scenario, we propose subregion graph data structure. It consists of subregions, which are clusters of locally connected waypoints inside a region, as well as their connectivities. We also present a fast algorithm to automatically generate subregion graph from enhanced waypoint graph map representation, which also supports various motion types and can be created from large virtual environments. Nevertheless, subregion graph can also be generated from any graph-based map representation. Our experiments showed that subregion graph is very compact relative to the input waypoint graph. By firstly planning subregion path, and then limiting waypoint-level planning to the subregion path, up to 8 times average speedup can be achieved, while average length ratios are maintained at as low as 102.5%. © The Eurographics Association 2015.

关键词： Motion planning

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Fast level set image segmentation using new evolution indicator operators 19

Fast level set image segmentation using new evolution indica...

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19th pacific conference on computer graphics and applications, PG 2011

作者： Xiao, Chunxia Gan, Jiajia Hu, Xiangyun School of Computer Wuhan University Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China

ISBN: (纸本)9783905673845

We propose an effective level set evolution method for robust object segmentation in real images. We construct an effective region indicator and a multiscale edge indicator to adaptively guide the evolution of the level set function. The region indicator is built on the similarity map between image pixels and user specified interest regions, which is computed using Gaussian Mixture Models (GMM). To accurately detect object boundary, we propose to use a multi-scale edge indicator defined in the gradient domain of the multi-scale feature-preserving filtered image. Then, we develop a new mixing edge stop function based on these two indicators, which forces the level set to evolve adaptively based on the image content. Furthermore, we apply an acceleration approach to speed up our evolution process, which yields real time segmentation performance. As the results show, our approach is effective for image segmentation and works well to accurately detect the complex object boundaries in real-time. © The Eurographics Association 2011.

关键词： Image segmentation

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Image palette: Brushstroke synthesis-based style transfer 22

Image palette: Brushstroke synthesis-based style transfer

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22nd pacific conference on computer graphics and applications, PG 2014

作者： Miao, Zheng Zhang, Yan Zheng, Zhibin Sun, Zhengxing State Key Lab for Novel Software Technology Nanjing University China Department of Computer Science and Technology Nanjing University China

ISBN: (纸本)9783905674736

Painting style transfer is one kind technology where given the sample images with some specific art style, we can render the target images in the same style as the samples after some computation. In this paper we present a new approach of painting style transfer in which such a style transfer work is done by analogy with simulating the process of creation. We take the sample as palette where users can select arbitrary outlines or textures as the current input mode brush strokes. We then analyze brush strokes' style feature information and use such information for the style transfer and synthesis along the stroke curves learned from the specified area in target images to get the same painting style as the samples. The results show that the users can get a style-transferred personalized target image just by the given sample images and least interactions. © The Eurographics Association 2014.

关键词： Image processing

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Two simple single-pass GPU methods for multi-channel surface voxelization of dynamic scenes 19

Two simple single-pass GPU methods for multi-channel surface...

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19th pacific conference on computer graphics and applications, PG 2011

作者： Gaitatzes, Athanasios Mavridis, Pavlos Papaioannou, Georgios Department of Computer Science University of Cyprus Cyprus Department of Informatics Athens University of Economics and Business Greece

ISBN: (纸本)9783905673845

An increasing number of rendering and geometry processing algorithms relies on volume data to calculate anything from effects like smoke/fluid simulations, visibility information or global illumination effects. We present two real-time and simple-to-implement novel surface voxelization algorithms and a volume data caching structure, the Volume Buffer, which encapsulates functionality, storage and access similar to a frame buffer object, but for three-dimensional scalar data. The Volume Buffer can rasterize primitives in 3d space and accumulate up to 1024 bits of arbitrary data per voxel, as required by the specific application. The strength of our methods is the simplicity of the implementation resulting in fast computation times and very easy integration with existing frameworks and rendering engines. © The Eurographics Association 2011.

关键词： Rasterization

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Roadmap-based flocking for complex environments 10

Roadmap-based flocking for complex environments

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10th pacific conference on computer graphics and applications, PG 2002

作者： Bayazit, O. Burchan Lien, Jyh-Ming Amato, Nancy M. Texas A and M University PARASOL Lab Dept. of Computer Science College StationTX77843-3112 United States

ISBN: (纸本)0769517846

Flocking behavior is very common in nature, and there have been ongoing research efforts to simulate such behavior in computer animations and robotics applications. Generally, such work considers behaviors that can be determined independently by each flock member solely by observing its local environment, e.g., the speed and direction of its neighboring flock members. Since flock members are not assumed to have global information about the environment, only very simple navigation and planning techniques have been considered for such flocks. In this paper, we investigate how the addition of global information in the form of a roadmap of the environment enables more sophisticated flocking behaviors. In particular, we study and propose new techniques for three distinct group behaviors: homing, exploring and shepherding. These behaviors exploit global knowledge of the environment and utilize knowledge gathered by all flock members. This knowledge is communicated by allowing individual flock members to dynamically update the shared roadmap to reflect (un)desirable routes or regions. We present experimental results showing how the judicious use of simple roadmaps of the environment enables more complex behaviors to be obtained at minimal cost. © 2002 IEEE.

关键词： Motion planning

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Incorporating fiber controls into FEM model for transversely isotropic materials 22

Incorporating fiber controls into FEM model for transversely...

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22nd pacific conference on computer graphics and applications, PG 2014

作者： Jianping, Cai Feng, Lin Tsui, Lee Yong Kemao, Qian Soon, Seah Hock School of Computer Engineering Nanyang Technological University Singapore School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

ISBN: (纸本)9783905674736

Physically plausible deformable models based on continuum mechanics have been a hot topic in computer graphics for decades, and many models have been proposed to improve performance speed and stability. However, most of the existing models focus on isotropic materials, while elastic objects with complex anisotropic properties are less studied. Based on the observation that a large group of objects have specific internal structures (fibers) that determine their anisotropic behavior, we propose a fiber incorporated corotational FEM model that can approximate longitudinally anisotropic deformation. First, a fiber orientation field is used to establish local frames for each element;then, the orientation information is combined into the FEM model by adding local transformations on element stiffness matrices. This proposed model can provide a control for directable deformations, and yields realistic anisotropic deformations. Large deformations can be accommodated;meanwhile, with pre-computation it adds no computational cost to the existing corotational FEM model during simulation. Convincing experimental results and analytical comparisons are presented, together with an accompanying video demonstration. © The Eurographics Association 2014.

关键词： Fibers

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Automatic Shape Control of Triangular B-Splines of Arbitrary Topology

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Journal of computer Science & Technology 2006年第2期21卷 232-237页

作者：贺英顾险峰秦洪 Center for Visual Computing (CVC) and Department of Computer Science Stony Brook University Stony Brook NY 11790-4400 U.S.A.

Triangular B-splines are powerful and flexible in modeling a broader class of geometric objects defined over arbitrary, non-rectangular domains. Despite their great potential and advantages in theory, practical techniques and computational tools with triangular B-splines are less-developed. This is mainly because users have to handle a large number of irregularly distributed control points over arbitrary triangulation. In this paper, an automatic and efficient method is proposed to generate visually pleasing, high-quality triangular B-splines of arbitrary topology. The experimental results on several real datasets show that triangular B-splines are powerful and effective in both theory and practice.

关键词： triangular B-splines arbitrary topology fairing algorithm

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Texture Pattern Generation Using Clonal Mosaic

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Journal of computer Science & Technology 2006年第2期21卷 173-180页

作者：张厚健黄国长 Center for Graphics and Imaging Technologies School of Computer EngineeringNanyang Technological University Singapore

In this paper, an effective system for synthesizing animal skin patterns on arbitrary polygonal surfaces is developed. To accomplish the task, a system inspired by the Clonal Mosaic （CM） model is proposed. The CM model simulates cells＇ reactions on arbitrary surface. By controlling the division, mutation and repulsion of cells, a regulated spatial arrangement of cells is formed. This arrangement of cells shows appealing result, which is comparable with those natural patterns observed from animal skin. However, a typical CM simulation process incurs high computational cost, where the distances among ceils across a polygonal surface are measured and the movements of cells are constrained on the surface. In this framework, an approach is proposed to transform each of the original 3D geometrical planes of the surface into its Canonical Reference Plane Structure. This structure helps to simplify a 3D computational problem into a more manageable 2D problem. Furthermore, the concept of Local Relaxation is developed to optimally enhance the relaxation process for a typical CM simulation. The performances of the proposed solution methods have been verified with extensive experimental results.

关键词： procedural texture clonal mosaic pattern synthesis geometry processing

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Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks 16

Feature Map Upscaling to Improve Scale Invariance in Convolu...

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16th International Joint conference on computer Vision, Imaging and computer graphics Theory and applications (VISIGRAPP) / 16th International conference on computer Vision Theory and applications (VISAPP)

作者： Kumar, Dinesh Sharma, Dharmendra Univ South Pacific Fac Sci & Technol Laucala Bay Rd Suva Fiji Univ Canberra Fac Sci & Technol 11 Kirinari St Canberra ACT 2617 Australia

ISBN: (纸本)9789897584886

Efforts made by computer scientists to model the visual system has resulted in various techniques from which the most notable has been the Convolutional Neural Network (CNN). Whilst the ability to recognise an object in various scales is a trivial task for the human visual system, it remains a challenge for CNNs to achieve the same behaviour. Recent physiological studies reveal the visual system uses global-first response strategy in its recognition function, that is the visual system processes a wider area from a scene for its recognition function. This theory provides the potential for using global features to solve transformation invariance problems in CNNs. In this paper, we use this theory to propose a global-first feature extraction model called Stacked Filter CNN (SFCNN) to improve scale-invariant classification of images. In SFCNN, to extract features from spatially larger areas of the target image, we develop a trainable feature extraction layer called Stacked Filter Convolutions (SFC). We achieve this by creating a convolution layer with a pyramid of stacked filters of different sizes. When convolved with an input image the outputs are feature maps of different scales which are then upsampled and used as global features. Our results show that by integrating the SFC layer within a CNN structure, the network outperforms traditional CNN on classification of scaled color images. Experiments using benchmark datasets indicate potential effectiveness of our model towards improving scale invariance in CNN networks.

关键词： Convolutional Neural Network Feature Map Filter Pyramid Global Feature Scale Invariance Visual System

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