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Now showing 1 - 10 of 24
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    A Preliminary Analysis of Methods for Curvature Estimation on Surfaces With Local Reliefs
    (The Eurographics Association, 2019) Moscoso Thompson, Elia; Biasotti, Silvia; Cignoni, Paolo and Miguel, Eder
    Curvature estimation is very popular in geometry processing for the analysis of local surface variations. Despite the large number of methods, no quantitative nor qualitative studies have been conducted for a comparative analysis of the different algorithms on surfaces with small geometric variations, such as chiselled or relief surfaces. In this work we compare eight curvature estimation methods that are commonly adopted by the computer graphics community on a number of triangle meshes derived from scans of surfaces with local reliefs.
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    Flexible Type: Methods and Applications of Modifying Glyph's Horizontal and Vertical Weight
    (The Eurographics Association, 2019) Kumawat, Nirmal; dhanuka, praveen kumar; Fusiello, Andrea and Bimber, Oliver
    Graphic designers create logos or artworks by using various tools such as Adobe Illustrator, InDesign etc. Many times, designers face a major problem where they want to change the visual appearance of the text to fit the design in the current context or to make the design look better, but text editing options provided today are very limiting to the user's creativity. The designers get around this by converting text to outlines and then modifying each glyph like a separate graphic. This leads to text no longer being live (essentially unlinked) and the edits for each glyph can be time consuming. The poster presents methods for modifying glyph's horizontal and vertical weight. Later, the poster aims to provide the application of such modification to generate multiple styles by modifying glyph's overall Weight, Width, CapHeight, xHeight, height of Ascender and Descender etc.
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    GPU Smoke Simulation on Compressed DCT Space
    (The Eurographics Association, 2019) Ishida, Daichi; Ando, Ryoichi; Morishima, Shigeo; Cignoni, Paolo and Miguel, Eder
    This paper presents a novel GPU-based algorithm for smoke animation. Our primary contribution is the use of Discrete Cosine Transform (DCT) compressed space for efficient simulation. We show that our method runs an order of magnitude faster than a CPU implementation while retaining visual details with a smaller memory usage. The key component of our method is an on-the-fly compression and expansion of velocity, pressure and density fields. Whenever these physical quantities are requested during a simulation, we perform data expansion and compression only where necessary in a loop. As a consequence, our simulation allows us to simulate a large domain without actually allocating full memory space for it. We show that albeit our method comes with some extra cost for DCT manipulations, such cost can be minimized with the aid of a devised shared memory usage.
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    Anisotropic Filtering for On-the-fly Patch-based Texturing
    (The Eurographics Association, 2019) Lutz, Nicolas; Sauvage, Basile; Larue, Frédéric; Dischler, Jean-Michel; Cignoni, Paolo and Miguel, Eder
    On-the-fly patch-based texturing consists of choosing at run-time, for several patches within a tileable texture, one random candidate among a pre-computed set of possible contents. This category of methods generates unbounded textures, for which filtering is not straightforward, because the screen pixel footprint may overlap multiple patches in texture space, i.e. different randomly chosen contents. In this paper, we propose a real-time anisotropic filtering which is fully compliant with the standard graphics pipeline. The main idea is to pre-filter the contents independently, store them in an atlas, and combine them at run-time to produce the final pixel color. The patch-map, referencing to which patch belong the fetched texels, requires a specific filtering approach, in order to recover the patches that overlap at low resolutions. In addition, we show how this method can achieve blending at patch boundaries in order to further reduce visible seams, without modification of our filtering algorithm.
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    Area Lights in Signed Distance Function Scenes
    (The Eurographics Association, 2019) Bán, Róbert; Bálint, Csaba; Valasek, Gábor; Cignoni, Paolo and Miguel, Eder
    This paper presents two algorithms to incorporate spherical and general area lights into scenes defined by signed distance functions. The first algorithm employs an efficient approximation to the contribution of spherical lights to direct illumination and renders them at real-time rates. The second algorithm is of superior quality at a higher computational cost which is better suited for interactive rates. Our results are compared to both real-time soft shadow algorithms and a ground truth obtained by Monte Carlo integration. We show in these comparisons that our real-time solution computes more accurate shadows while the more demanding variant outperforms Monte Carlo integration at the expense of accuracy.
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    Perceptual Characteristics by Motion Style Category
    (The Eurographics Association, 2019) Kim, Hye Ji; Lee, Sung-Hee; Cignoni, Paolo and Miguel, Eder
    Motion style is important as it characterizes a motion by expressing the context of the motion such as emotion and personality. Yet, the perception and interpretation of motion styles is subjective and may vary greatly from person to person. This paper investigates the perceptual characteristics of motion styles for a wide range of styles. After categorizing the motion styles, we perform user studies to examine the diversity of interpretations of motion styles and the association level between style motions and their corresponding text descriptions. Our study shows that motion styles have different interpretation diversity and association level according to their categories. We discuss the implications of these findings and recommend a method of labeling or describing motion styles.
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    Voxelizing Light-Field Recordings
    (The Eurographics Association, 2019) Schedl, David; Kurmi, Indrajit; Bimber, Oliver; Fusiello, Andrea and Bimber, Oliver
    Light fields are an emerging image-based technique that support free viewpoint navigation of recorded scenes as demanded in several recent applications (e.g., Virtual Reality). Pure image-based representations, however quickly become inefficient, as a large number of images are required to be captured, stored, and processed. Geometric scene representations require less storage and are more efficient to render. Geometry reconstruction, however, is unreliable and might fail for complex scene parts. Furthermore, view-dependent effects that are preserved with light fields are lost in pure geometry-based techniques. Therefore, we propose a hybrid representation and rendering scheme for recorded dense light fields: we extract isotropic scene regions and represent them by voxels, while the remaining areas are represented as sparse light field. In comparison to dense light fields, storage demands are reduced while visual quality is sustained.
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    Visual-auditory Representation and Analysis of Molecular Scalar Fields
    (The Eurographics Association, 2019) Malikova, Evgeniya; Adzhiev, Valery; Fryazinov, Oleg; Pasko, Alexander; Fusiello, Andrea and Bimber, Oliver
    The work deals with a visual-auditory representation and an analysis of static and dynamic continuous scalar fields.We propose a general approach and give examples of dynamic and static objects representations related to molecular data simulations. We describe the practical application and demonstrate how the approach may help to track geometrical features.
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    Schelling Meshes
    (The Eurographics Association, 2019) Power, Luther; Lau, Manfred; Cignoni, Paolo and Miguel, Eder
    The concept of ''Schelling points'' on 3D shapes has been explored for points on the surface of a 3D mesh. In this paper, we introduce the notion of ''Schelling meshes'' which extends the Schelling concept to 3D meshes as a whole themselves. We collect Schelling-based data for meshes where participants are given a group of shapes and asked to choose those with the aim of matching with what they expect others to choose. We analyze the data by computing the Schelling frequency of each shape and characterizing the qualitative features that make a shape ''Schelling''. We show that the Schelling frequencies can be learned and demonstrate Schelling-guided shape applications.
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    Enhanced Reconstruction of Architectural Wall Surfaces for 3D Building Models
    (The Eurographics Association, 2019) Michailidis, Georgios-Tsampikos; Pajarola, Renato; Fusiello, Andrea and Bimber, Oliver
    The reconstruction of architectural structures from 3D building models is a challenging task and a lot of research has been done in recent years. However, most of this work is focused mainly on reconstructing accurately the architectural shape of interiors rather than the fine architectural details, such as the wall elements (e.g. windows and doors). We focus specifically on this problem and propose a method that extends current solutions to reconstruct accurately severely occluded wall surfaces.