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Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 10th International J José Braz,Julien Pettré,Francisco Imai Confere

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Leaf Glyphs: Story Telling and Data Analysis Using Environmental Data Glyph Metaphorsting groups in data, and more generally, the detection of patterns. Specifically, for large data sets, such tasks may be effectively addressed by glyph-based visualizations. Appropriately defined glyph designs and layouts may represent collections of data to address these aforementioned tasks. Impor
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Compression and Heuristic Caching for GPU Particle Tracing in Turbulent Vector Fieldsths through large parts of the domain, particle integration requires access to the entire field in an unpredictable order. Thus, techniques for particle tracing in such fields require a careful design to reduce performance constraints caused by memory and communication bandwidth. One possibility to
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Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examprojection. Specifically, we adopt a user-centric approach in which we take user perception into consideration. Here, we focus on projection techniques that output 2D or 3D scatterplots that can then be used for a range of common data analysis tasks, which we categorize as pattern identification task
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Multiple View 3D Reconstruction with Rolling Shutter Camerasby line. The resulting distortions affect structure from motion methods developed for global shutter, like CCD cameras. The bundle adjustment method presented in this paper deals with rolling shutter cameras. We use a projection model which considers pose and velocity and needs 6 more parameters for
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A Generalized Structure from Motion Framework for Central Projection Camerasulti-view 3D reconstruction algorithms. We believe that these algorithms will be able to benefit from several different sources of visual information. Accordingly, SfM approaches will need to handle this variety of image sources, such as perspective, wide-angle and spherical images. However, this is
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