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IEEE Transactions on Visualization and Computer Graphics

Massimo Candela, Marco Di Bartolomeo, Giuseppe Di Battista, Claudio Squarcella
Several projects deploy probes in the Internet. Probes are systems that continuously perform traceroutes and other networking measurements (e.g. ping) towards selected targets. Measurements can be stored and analyzed to gain knowledge on several aspects of the Internet, but making sense of such data requires suitable methods and tools for exploration and visualization. We present Radian, a tool that allows to visualize traceroute paths at different levels of detail and to animate their evolution during a selected time interval...
June 19, 2017: IEEE Transactions on Visualization and Computer Graphics
Anne-Helene Olivier, Julien Bruneau, Richard Kulpa, Julien Pettre
Navigating in virtual environments requires using some locomotion interfaces, especially when the dimensions of the environments exceed the ones of the Virtual Reality system. Locomotion interfaces induce some biases both in the perception of the self-motion or in the formation of virtual locomotion trajectories. These biases have been mostly evaluated in the context of static environments, and studies need to be revisited in the new context of populated environments where users interact with virtual characters...
June 12, 2017: IEEE Transactions on Visualization and Computer Graphics
Eray Molla, Henrique Galvan Debarba, Ronan Boulic
The relative location of human body parts often materializes the semantics of on-going actions, intentions and even emotions expressed, or performed, by a human being. However, traditional methods of performance animation fail to correctly and automatically map the semantics of performer postures involving self-body contacts onto characters with different sizes and proportions. Our method proposes an egocentric normalization of the body-part relative distances to preserve the consistency of self contacts for a large variety of human-like target characters...
June 7, 2017: IEEE Transactions on Visualization and Computer Graphics
Liang Shen, Dengming Zhu, Saad Nadeem, Zhaoqi Wang, Arie E Kaufman
We introduce a novel approach for flame volume reconstruction from videos using inexpensive charge-coupled device (CCD) consumer cameras. The approach includes an economical data capture technique using inexpensive CCD cameras. Leveraging the smear feature of the CCD chip, we present a technique for synchronizing CCD cameras while capturing flame videos from different views. Our reconstruction is based on the radiative transport equation which enables complex phenomena such as emission, extinction, and scattering to be used in the rendering process...
June 6, 2017: IEEE Transactions on Visualization and Computer Graphics
Hanfei Lin, Siyuan Gao, David Gotz, Fan Du, Jingrui He, Nan Cao
Rare category identification is an important task in many application domains, ranging from network security, to financial fraud detection, to personalized medicine. These are all applications which require the discovery and characterization of sets of rare but structurally-similar data entities which are obscured within a larger but structurally different dataset. This paper introduces RCLens, a visual analytics system designed to support user-guided rare category exploration and identification. RCLens adopts a novel active learning-based algorithm to iteratively identify more accurate rare categories in response to user-provided feedback...
June 6, 2017: IEEE Transactions on Visualization and Computer Graphics
Yujing Sun, Scott Schaefer, Wenping Wang
Retrieving salient structure from textured images is an important but difficult problem in computer vision because texture, which can be irregular, anisotropic, non-uniform and complex, shares many of the same properties as structure. Observing that salient structure in a textured image should be piece-wise smooth, we present a method to retrieve such structures using an L0 minimization of a modified form of the relative total variation metric. Thanks to the characteristics shared by texture and small structures, our method is effective at retrieving structure based on scale as well...
June 2, 2017: IEEE Transactions on Visualization and Computer Graphics
Gabriele Capannini, Thomas Larsson
We present an improved parallel Sweep and Prune algorithm that solves the dynamic box intersection problem in three dimensions. It scales up to very large datasets, which makes it suitable for broad phase collision detection in complex moving body simulations. Our algorithm gracefully handles high-density scenarios, including challenging clustering behavior, by using a double-axis sweeping approach and a cache-friendly succinct data structure. The algorithm is realized by three parallel stages for sorting, candidate generation, and object pairing...
May 29, 2017: IEEE Transactions on Visualization and Computer Graphics
Tao Yang, Ralph R Martin, Ming C Lin, Jian Chang, Shi-Min Hu
In this paper, we present a novel pairwise-force smoothed particle hydrodynamics (PF-SPH) model to allow modeling of various interactions at interfaces in real time. Realistic capture of interactions at interfaces is a challenging problem for SPH-based simulations, especially for scenarios involving multiple interactions at different interfaces. Our PF-SPH model can readily handle multiple kinds of interactions simultaneously in a single simulation; its basis is to use a larger support radius than that used in standard SPH...
May 19, 2017: IEEE Transactions on Visualization and Computer Graphics
Souheil Hadj Said, Mohamed Tamaazousti, Adrien Bartoli
The aim of Diminished Reality (DR) is to remove a target object in a live video stream seamlessly. In our approach, the area of the target object is replaced with new texture that blends with the rest of the image. The result is then propagated to the next frames of the video. One of the important stages of this technique is to update the target region with respect to the illumination change. This is a complex and recurrent problem when the viewpoint changes. We show that the state-of-the-art in DR fails in solving this problem, even under simple scenarios...
May 18, 2017: IEEE Transactions on Visualization and Computer Graphics
Dirk J Lehmann, Holger Theisel
Star Coordinates are a popular projection technique in order to analyze and to disclose characteristic patterns of multidimensional data. Unfortunately, the shape, appearance, and distribution of such patterns are strongly affected by the given scaling of the data and can mislead the projection-based data analysis. In an extreme case, patterns might be more related to the choice of scaling than to the data themselves. Thus, we present the LloydRelaxer : a tool to minimize scaling-based effects in Star Coordinates...
May 17, 2017: IEEE Transactions on Visualization and Computer Graphics
Ricardo Augusto Borsoi, Guilherme Holsbach Costa
In see-through systems an observer watches a (background) scene partially occluded by a display. In this display, usually positioned close to the observer, a region of the background scene is shown, yielding the sensation that the display is transparent. To achieve the transparency effect, it is very important to compensate the parallax error and other distortions caused by the image acquisition system. In this paper a detailed study of a video see-through methodology with parallax correction is performed. In a system composed by two cameras - one directed to the user and another to the background scene - and a display, the relative position between the user, the display and the scene is estimated using a feature detection algorithm and the parallax error is compensated assuming a planar scene model...
May 17, 2017: IEEE Transactions on Visualization and Computer Graphics
Pradeep Kumar Jayaraman, Chi-Wing Fu, Jianmin Zheng, Xueting Liu, Tien-Tsin Wong
Shading is a tedious process for artists involved in 2D cartoon and manga production given the volume of contents that the artists have to prepare regularly over tight schedule. While we can automate shading production with the presence of geometry, it is impractical for artists to model the geometry for every single drawing. In this work, we aim to automate shading generation by analyzing the local shapes, connections, and spatial arrangement of wrinkle strokes in a clean line drawing. By this, artists can focus more on the design rather than the tedious manual editing work, and experiment with different shading effects under different conditions...
May 17, 2017: IEEE Transactions on Visualization and Computer Graphics
Xin Hu, Xiao-Ming Fu, Ligang Liu
Computing spherical parameterizations for genus-zero closed surfaces is a fundamental task for geometric processing and computer graphics. Existing methods usually suffer from a lack of practical robustness or poor quality. In this paper, we present a practically robust method to compute high-quality spherical parameterizations with bijection and low isometric distortion. Our method is based on the hierarchical scheme containing mesh decimation and parameterization refinement. The practical robustness of our method relies on two novel techniques...
May 15, 2017: IEEE Transactions on Visualization and Computer Graphics
Esdras de Medeiros Filho, Marcelo Siqueira
We introduce the Hierarchical Poisson Disk Sampling Multi-Triangulation (HPDS-MT) of surfaces, a novel structure that combines the power of multi-triangulation (MT) with the benefits of Hierarchical Poisson Disk Sampling (HPDS). MT is a general framework for representing surfaces through variable resolution triangle meshes, while HPDS is a well-spaced random distribution with blue noise characteristics. The distinguishing feature of the HPDS-MT is its ability to extract adaptive meshes whose triangles are guaranteed to have good shape quality...
May 12, 2017: IEEE Transactions on Visualization and Computer Graphics
Lingjie Liu, Hongjie Zhang, Guangmei Jing, Yanwen Guo, Zhonggui Chen, Wenping Wang
A new method is presented for producing photo collages that preserve content correlation of photos. We use deep learning techniques to find correlation among given photos to facilitate their embedding on the canvas, and develop an efficient combinatorial optimization technique to make correlated photos stay close to each other. To make efficient use of canvas space, our method first extracts salient regions of photos and packs only these salient regions. We allow the salient regions to have arbitrary shapes, therefore yielding informative, yet more compact collages than by other similar collage methods based on salient regions...
May 12, 2017: IEEE Transactions on Visualization and Computer Graphics
Thomas Leimkuehler, Petr Kellnhofer, Tobias Ritschel, Karol Myszkowski, Hans-Peter Seidel
We propose a system to infer binocular disparity from a monocular video stream in real-time. Different from classic reconstruction of physical depth in computer vision, we compute perceptually plausible disparity, that is numerically inaccurate, but results in a very similar overall depth impression with plausible overall layout, sharp edges, fine details and agreement between luminance and disparity. We use several simple monocular cues to estimate disparity maps and confidence maps of low spatial and temporal resolution in real-time...
May 11, 2017: IEEE Transactions on Visualization and Computer Graphics
Qiang Guo, Shanshan Gao, Xiaofeng Zhang, Yilong Yin, Caiming Zhang
To recover the corrupted pixels, traditional inpainting methods based on low-rank priors generally need to solve a convex optimization problem by an iterative singular value shrinkage algorithm. In this paper, we propose a simple method for image inpainting using low rank approximation, which avoids the time-consuming iterative shrinkage. Specifically, if similar patches of a corrupted image are identified and reshaped as vectors, then a patch matrix can be constructed by collecting these similar patch-vectors...
May 9, 2017: IEEE Transactions on Visualization and Computer Graphics
Na Lv, Zifei Jiang, Yan Huang, Xiangxu Meng, Gopi M, Jingliang Peng
In this work, we propose an original scheme for generic content-based retrieval of marker-based motion capture data. It works on motion capture data of arbitrary subject types and arbitrary marker attachment and labelling conventions. Specifically, we propose a novel motion signature to statistically describe both the high-level and the low-level morphological and kinematic characteristics of a motion capture sequence, and conduct the content-based retrieval by computing and ordering the motion signature distance between the query and every item in the database...
May 9, 2017: IEEE Transactions on Visualization and Computer Graphics
Yunhai Wang, Kang Feng, Xiaowei Chu, Jian Zhang, Chi-Wing Fu, Michael Sedlmair, Xiaohui Yu, Baoquan Chen
Dimensionality reduction (DR) is a common strategy for visual analysis of labeled high-dimensional data. Low-dimensional representations of the data help, for instance, to explore the class separability and the spatial distribution of the data. Widely-used unsupervised DR methods like PCA do not aim to maximize the class separation, while supervised DR methods like LDA often assume certain spatial distributions and do not take perceptual capabilities of humans into account. These issues make them ineffective for complicated class structures...
May 5, 2017: IEEE Transactions on Visualization and Computer Graphics
Cewu Lu, Yao Xiao, Chi-Keung Tang
We present a real-time video stylization system and demonstrate a variety of painterly styles rendered on real video inputs. The key technical contribution lies on the object flow, which is robust to inaccurate optical flow, unknown object transformation and partial occlusion as well. Since object flows relate regions of the same object across frames, shower-door effect can be effectively reduced where painterly strokes and textures are rendered on video objects. The construction of object flows is performed in real time and automatically after applying metric learning...
May 5, 2017: IEEE Transactions on Visualization and Computer Graphics
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