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Constructing Multiple Scene Graphs in Distributed Environment

computer Aided Drafting,Design and Manufacturing 2015年第1期25卷 16-21页

作者： XIA Rui WANG Guo-ping LI Sheng WANG Heng Shenzhen Key Lab for Cloud Computing Technology and Applications Shenzhen Graduate School of Peking University Graphics & Interaction Lab. School of Electronics Engineering and Computer SciencesPeking University Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

Scene graph is a infrastructure of the virtual reality system to organize the virtual scene with abstraction, it can provide facility for the rendering engine and should be integrated effectively on demand into a real-time system, where a large quantities of scene objects and resources can be manipulated and managed with high flexibility and reliability. We present a new scheme of multiple scene graphs to accommodate the features of rendering engine and distributed systems. Based upon that, some other functions, e.g. block query, interactive editing, permission management, instance response, ＂redo＂ and ＂undo＂, are implemented to satisfy various requirements. At the same time, our design has compatibility to popular C/S architecture with good concurrent performance. Above all, it is convenient to be used for further development. The results of experiments including responding time demonstrate its good performance.

关键词： multiple scene graphs authority scene editing distributed systems

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CP-Census: A novel model for dense variational scene flow from RGB-D data 25

CP-Census: A novel model for dense variational scene flow fr...

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25th British Machine Vision Conference, BMVC 2014

作者： Ferstl, David Riegler, Gernot Ruether, Matthias Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

We present a novel method for dense variational scene flow estimation based a multi-scale Ternary Census Transform in combination with a patchwise Closest Points depth data term. On the one hand, the Ternary Census Transform in the intensity data term is capable of handling illumination changes, low texture and noise. On the other hand, the patchwise Closest Points search in the depth data term increases the robustness in low structured regions. Further, we utilize higher order regularization which is weighted and directed according to the input data by an anisotropic diffusion tensor. This allows to calculate a dense and accurate flow field which supports smooth as well as non-rigid movements while preserving flow boundaries. The numerical algorithm is solved based on a primal-dual formulation and is efficiently parallelized to run at high frame rates. In an extensive qualitative and quantitative evaluation we show that this novel method for scene flow calculation outperforms existing approaches. The method is applicable to any sensor delivering dense depth and intensity data such as Microsoft Kinect or Intel Gesture Camera. © 2014. The copyright of this document resides with its authors.

关键词： Tensors

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Portrait image segmentation based on improved grabcut algorithm 6th

Portrait image segmentation based on improved grabcut algori...

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6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Li, Shuai Zheng, Xiaohui Chen, Xianjun Zhan, Yongsong Key Laboratory of Cloud Computing and Complex System Guilin University of Electronic Technology Guilin Guangxi541004 China Guangxi Experiment Center of Information Science Guilin University of Electronic Technology Guilin Guangxi541004 China Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin Guangxi541004 China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin Guangxi541004 China Information Engineering School Haikou College of Economics Haikou Hainan571127

ISBN: (纸本)9783319204680

Traditional computer portrait caricature system mainly take the method that exaggerate and deform real images directly, that lead the facial image background also been deformed when exaggerate facial image. If in pretreatment stage, we segmented the characters and background of the input image, and then do the subsequent processing, the problem may be solved. But for better portrait caricature effects, we need an excellent segmentation algorithm. So, we propose an improved Grabcut image segmentation algorithm and use it to extract the prospect character image for exaggeration and deformation. In practical application, we separate deform and exaggerate the foreground characters image with TPS method, then fuse it with the original or new background picture, get the final image. Application proves, the method solves the background deformation problem well, and improves the quality and rate of image segmentation, caricature synthesis effect reality and natural. © Springer International Publishing Switzerland 2015.

关键词： Image segmentation

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An armature structure for 3D shapes

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Applied Mathematics(A Journal of Chinese Universities) 2014年第4期29卷 422-437页

作者： JI Zhong-ping LIU Li-gang KIM Deok-soo School of Computer Science and Technology Hangzhou Dianzi University Graphics Geometric Computing Laboratory School of Mathematical Sciences University of Science and Technology of China Department of Industrial Engineering Hanyang University

We present a novel armature structure for 3D articulated shapes, called SBall short for skeletal balls, which includes two parts： a one-dimensional skeleton and incident balls. Our algorithm mainly focuses on constructing the armature structure. This structure is based on an approximation skeleton which is homotopy equivalent to the shape. Each ball in the structure connects a skeletal joint and an interior region of the shape. The boundary vertices on the shape surface are attached onto the SBall using the power diagram of the ball set. A bilateral O^tering algorithm and a variational segmentation algorithm are proposed to enhance the quality of SBall. Finally, applications of this structure are discussed.

关键词： armature structure prong feature thinning variational segmentation.

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Interactive Segmentation of Rock-Art in High-Resolution 3D Reconstructions

Interactive Segmentation of Rock-Art in High-Resolution 3D R...

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International Congress on Digital Heritage

作者： Matthias Zeppelzauer Georg Poiert Markus Seidl Christian Reinbacher Christian Breiteneder Horst Bischof Samuel Schulter Media Computing Group St. Pölten University of Applied Sciences Austria Institute for Computer Graphics and Vision Graz University of Technology Austria Interactive Media Systems Group Vienna University of Technology Austria

Petroglyphs (rock engravings) are important artifacts for the documentation and analysis of early human life. Recent improvements in 3D scanning and 3D reconstruction enable the accurate 3D reconstruction of petroglyphs from rock surfaces at sub-millimeter resolution. To enable the indexing, matching, and recognition of petroglyphs in petroglyph databases, the shapes must first be segmented from the reconstructed rock surface. The absence of robust 3D segmentation methods for petroglyphs leaves a gap in the digital processing workflow. In this paper, we present a semi-automatic method for petroglyph segmentation for high-resolution 3D surface reconstructions. A comprehensive evaluation shows that our method is able to robustly segment petroglyphs with high accuracy and that the incorporation of 3D information is crucial to solve the segmentation problem. The presented method represents a major step towards the completion of a full 3D digital processing workflow of petroglyphs.

关键词： 3D segmentation semi-automatic segmentation surface texture analysis 3D rock-art analysis

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Detecting subtle port scans through characteristics based on interactive visualization 3

Detecting subtle port scans through characteristics based on...

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3rd Annual Conference on Research in Information technology, RIIT 2014

作者： Wang, Weijie Yang, Baijian Chen, Yingjie Victor Department of Computer and Information Technology Purdue University United States Department of Computer Graphics Technology Purdue University United States

ISBN: (纸本)9781450327114

Port-scan detection is essentially vital to enterprise networks, since many intrusions start with scanning. A port scan can be obvious or subtle in terms of the volume of network traffic. In this paper, we propose a creative approach by combining the characteristic-based method and visual analytics to detect those hard-to-find subtle scans as well as obvious scans in an enterprise environment. The goal of designing this system is to provide useful information and implications about port-scan attackers and benign hosts to a network security team in a simple and efficient manner. The major components of the system consist of three different semantic level visualizations. Through several use cases, we illustrate how the system can detect both obvious and subtle port-scanning activities. The analysis approach proposed in this study proves to be effective by identifying all the port-scan attackers in the data sets. Copyright © 2014 ACM.

关键词： Network security

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Treatment of biased and dependent sensor data in graph-based SLAM

Treatment of biased and dependent sensor data in graph-based...

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International Conference on Information Fusion

作者： Benjamin Noack Simon J. Julier Uwe D. Hanebeck Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Karlsruhe Institute of Technology (KIT) Germany Virtual Environments and Computer Graphics Group (VECG) University College London (UCL) United Kingdom

ISBN: (纸本)9781479974047

A common approach to attack the simultaneous localization and mapping problem (SLAM) is to consider factor-graph formulations of the underlying filtering and estimation setup. While Kalman filter-based methods provide an estimate for the current pose of a robot and all landmark positions, graph-based approaches take not only the current pose into account but also the entire trajectory of the robot and have to solve a nonlinear least-squares optimization problem. Using graph-based representations has proven to be highly scalable and very accurate as compared with traditional filter-based approaches. However, biased measurements as well as unmodeled correlations can lead to a sharp deterioration in the estimation quality and hence require careful consideration. In this paper, a method to incorporate biased or dependent measurement information is proposed that can easily be integrated into existing optimization algorithms for graph-based SLAM. For biased sensor data, techniques from ellipsoidal calculus are employed to compute the corresponding information matrices. Dependencies among noise terms are treated by a generalization of the covariance intersection concept. The treatment of both biased and correlated sensor data rest upon the inflation of the involved error matrices. Simulations are used to discuss and evaluate the proposed method.

关键词： Simultaneous localization and mapping Covariance matrices Joints Optimization Noise

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Synthesizing and editing dynamic flames with color temperature

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Chinese Science Bulletin 2014年第36期59卷 5379-5392页

作者： Zhaohui Wu Zhong Zhou Fei Dou Ye Duan Wei Wu State Key Laboratory of Virtual Reality Technology and Systems Beihang University Computer Graphics and Image Understanding Laboratory University of Missouri Columbia MO 65211 USA

Generating computer animated flames is a difficult and computationally expensive problem. Dynamic textures provide an effective means for extrapolating and synthesizing dynamic flames, but aggravates color distortion due to the high correlation of RGB components. A novel method for dynamic flame texture synthesis using color temperature is proposed in this paper. Firstly, the colortemperature mapping is calculated by using the Planck's law and two-color pyrometric technique to avoid color distortion. Secondly, a novel dynamic texture model is presented to transform the RGB space into temperature space. Finally,the dynamic flames editing is presented to support physical temperature adjustment. Experimental results illustrate that our approach is effective to synthesize visually plausible dynamic flames without color distortions and to edit dynamic flames with intuitive physical interpretation.

关键词：纹理合成火焰色温编辑 RGB空间计算问题彩色失真温度调节

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Adaptive scan strategies for fetal MRI imaging using slice to volume techniques

Adaptive scan strategies for fetal MRI imaging using slice t...

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IEEE International Symposium on Biomedical Imaging

作者： Bernhard Kainz Christina Malamateniou Giulio Ferrazzi Maria Murgasova Jan Egger Kevin Keraudren Mary Rutherford Joseph V. Hajnal Daniel Rueckert Department of Computing Biomedical Image Analysis Group UK Department Biomedical Engineering Division of Imaging Sciences King's College London UK Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781467393300

In this paper several novel methods to account for fetal movements during fetal Magnetic Resonance Imaging (fetal MRI) are explored. We show how slice-to-volume reconstruction methods can be used to account for motion adaptively during the scan. Three candidate methods are tested for their feasibility and integrated into a computer simulation of fetal MRI. The first alters the main orientation of the stacks used for reconstruction, the second stops if too much motion occurs during slice acquisition and the third steers the orientation of each slice individually. Reconstruction informed adaptive scanning can provide a peak signal-to-noise ratio (PSNR) improvement of up to 2 dB after only two stacks of scanned slices and is more efficient with respect to the uncertainty of the final reconstruction.

关键词： Image reconstruction Magnetic resonance imaging Uncertainty Image resolution Tracking Trajectory

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ATGV-SF: Dense variational scene flow through projective warping and higher order regularization 2

ATGV-SF: Dense variational scene flow through projective war...

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2014 2nd International Conference on 3D Vision, 3DV 2014

作者： Ferstl, David Reinbacher, Christian Riegler, Gernot Rüther, Matthias Bischof, Horst Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16 Graz8010 Austria

ISBN: (纸本)9781479970018

In this paper we present a novel method to accurately estimate the dense 3D motion field, known as scene flow, from depth and intensity acquisitions. The method is formulated as a convex energy optimization, where the motion warping of each scene point is estimated through a projection and back-projection directly in 3D space. We utilize higher order regularization which is weighted and directed according to the input data by an anisotropic diffusion tensor. Our formulation enables the calculation of a dense flow field which does not penalize smooth and non-rigid movements while aligning motion boundaries with strong depth boundaries. An efficient parallelization of the numerical algorithm leads to runtimes in the order of 1s and therefore enables the method to be used in a variety of applications. We show that this novel scene flow calculation outperforms existing approaches in terms of speed and accuracy. Furthermore, we demonstrate applications such as camera pose estimation and depth image superresolution, which are enabled by the high accuracy of the proposed method. We show these applications using modern depth sensors such as Microsoft Kinect or the PMD Nano Timeof-Flight sensor. © 2014 IEEE.

关键词： Numerical methods

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