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GlyphLens: view-dependent Occlusion Management in the Interactive Glyph visualization

IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2017年第1期23卷 891-900页

作者： Tong, Xin Li, Cheng Shen, Han-Wei Ohio State Univ Columbus OH 43210 USA

Glyph as a powerful multivariate visualization technique is used to visualize data through its visual channels. To visualize 3D volumetric dataset, glyphs are usually placed on 2D surface, such as the slicing plane or the feature surface, to avoid occluding each other. However, the 3D spatial structure of some features may be missing. On the other hand, placing large number of glyphs over the entire 3D space results in occlusion and visual clutter that make the visualization ineffective. To avoid the occlusion, we propose a view-dependent interactive 3D lens that removes the occluding glyphs by pulling the glyphs aside through the animation. We provide two space deformation models and two lens shape models to displace the glyphs based on their spatial distributions. After the displacement, the glyphs around the user-interested region are still visible as the context information, and their spatial structures are preserved. Besides, we attenuate the brightness of the glyphs inside the lens based on their depths to provide more depth cue. Furthermore, we developed an interactive glyph visualization system to explore different glyph-based visualization applications. In the system, we provide a few lens utilities that allows users to pick a glyph or a feature and look at it from different view directions. We compare different display/interaction techniques to visualize/manipulate our lens and glyphs.

关键词： view-dependent visualization focus plus context techniques manipulation and deformation glyph-based techniques human-computer interaction

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Planar visualization of Treelike Structures

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2016年第1期22卷 906-915页

作者： Marino, Joseph Kaufman, Arie SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA

We present a novel method to create planar visualizations of treelike structures (e.g., blood vessels and airway trees) where the shape of the object is well preserved, allowing for easy recognition by users familiar with the structures. Based on the extracted skeleton within the treelike object, a radial planar embedding is first obtained such that there are no self-intersections of the skeleton which would have resulted in occlusions in the final view. An optimization procedure which adjusts the angular positions of the skeleton nodes is then used to reconstruct the shape as closely as possible to the original, according to a specified view plane, which thus preserves the global geometric context of the object. Using this shape recovered embedded skeleton, the object surface is then flattened to the plane without occlusions using harmonic mapping. The boundary of the mesh is adjusted during the flattening step to account for regions where the mesh is stretched over concavities. This parameterized surface can then be used either as a map for guidance during endoluminal navigation or directly for interrogation and decision making. Depth cues are provided with a grayscale border to aid in shape understanding. Examples are presented using bronchial trees, cranial and lower limb blood vessels, and upper aorta datasets, and the results are evaluated quantitatively and with a user study.

关键词： Geometry-based techniques view-dependent visualization medical visualization planar embedding

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Voronoi-Based Extraction and visualization of Molecular Paths

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2011年第12期17卷 2025-2034页

作者： Lindow, Norbert Baum, Daniel Hege, Hans-Christian Zuse Inst Berlin Berlin Germany

Visual analysis is widely used to study the behavior of molecules. Of particular interest are the analysis of molecular interactions and the investigation of binding sites. For large molecules, however, it is difficult to detect possible binding sites and paths leading to these sites by pure visual inspection. In this paper, we present new methods for the computation and visualization of potential molecular paths. Using a novel filtering method, we extract the significant paths from the Voronoi diagram of spheres. For the interactive visualization of molecules and their paths, we present several methods using deferred shading and other state-of-the-art techniques. To allow for a fast overview of reachable regions of the molecule, we illuminate the molecular surface using a large number of light sources placed on the extracted paths. We also provide a method to compute the extension surface of selected paths and visualize it using the skin surface. Furthermore, we use the extension surface to clip the molecule to allow easy visual tracking of even deeply buried paths. The methods are applied to several proteins to demonstrate their usefulness.

关键词： Molecular visualization data filtering geometry-based techniques view-dependent visualization

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Truly selective polygonal mesh hierarchies with error control

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COMPUTER AIDED GEOMETRIC DESIGN 2005年第5期22卷 424-443页

作者： Gumhold, S MPI Informat Saarbrucken Germany

In this work a new multi-resolution model is proposed for polygonal meshes. It is based on the dual edge collapse, which performs face clustering instead of vertex clustering. The new hierarchical mesh representation combines a truly selective refinement scheme with a strict control of the two-sided Hausdorff distance. The proposed approach allows to build hierarchical meshes directly over non-triangulated polygonal models. As most dependencies in the hierarchy are in the form of trees, the resulting representation is very compact and allows for a compressed in-core representation. Furthermore an optimization scheme is proposed for the hierarchy based on variational shape approximation. (C) 2005 Elsevier B.V. All rights reserved.

关键词： error controlled simplification view-dependent visualization polygonal meshes hierarchical modeling

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An exploded view paradigm to disambiguate scatterplots

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COMPUTERS & GRAPHICS-UK 2018年第Jun.期73卷 37-46页

作者： Mahmood, Salman Mueller, Klaus SUNY Stony Brook Stony Brook NY 11794 USA

Small multiples is a popular visualization technique for dealing with overdraw in multi-class data. Small multiples are great at showing pieces of data individually, however, they do not explain how the different pieces fit together. They can also be difficult to understand for unacquainted users. We propose an interactive technique which uses the paradigm of exploded views to make small multiples visualizations more intelligible for unacquainted users. An exploded view is a drawing in which the different components of the object are separated by distance in such a way that the relationship between these components becomes apparent and hidden components of the data are revealed. We use the exploded view paradigm to create various animation designs for multi-class data. The designs are then compared using the Elo ranking scheme. We hypothesize that the exploded view animations increase the ability of users to appreciate the relations among data clusters (in the compound view) and at the same time get a clearer idea about the features of the individual data clusters (in the exploded view). We conduct a user study to compare this interactive approach with a compound view and an animated small multiples visualization. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Data transformation and representation Zooming and navigation techniques view-dependent visualization High-dimensional data

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view-dependent exploration of massive volumetric models on large-scale light field displays

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VISUAL COMPUTER 2010年第6-8期26卷 1037-1047页

作者： Iglesias Guitian, Jose Antonio Gobbetti, Enrico Marton, Fabio Ctr Adv Studies Res & Dev Sardinia CRS4 Visual Comp Grp Pula Italy Ctr Adv Studies Res & Dev Sardinia CRS4 Adv Comp & Commun Program Pula Italy

We report on a light-field display based virtual environment enabling multiple naked-eye users to perceive detailed multi-gigavoxel volumetric models as floating in space, responsive to their actions, and delivering different information in different areas of the workspace. Our contributions include a set of specialized interactive illustrative techniques able to provide different contextual information in different areas of the display, as well as an out-of-core CUDA-based raycasting engine with a number of improvements over current GPU volume raycasters. The possibilities of the system are demonstrated by the multi-user interactive exploration of 64 Gvoxel data sets on a 35 Mpixel light field display driven by a cluster of PCs.

关键词： Volume rendering High-field displays Illustrative visualization Massive datasets Virtual reality view-dependent visualization 3D interaction

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An Entropy-Based Approach for Identifying User-Preferred Camera Positions 11

An Entropy-Based Approach for Identifying User-Preferred Cam...

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IEEE 11th Symposium on Large Data Analysis and visualization (LDAV)

作者： Marsaglia, Nicole Kawakami, Yuya Schwartz, Samuel D. Fields, Stefan Childs, Hank Univ Oregon Eugene OR 97403 USA

ISBN: (纸本)9781665432832

viewpoint Quality (VQ) metrics have the potential to predict human preferences for camera placement. With this study, we introduce new VQ metrics that incorporate entropy, and explore how they can be used in combination. Our evaluation involves three phases: (1) creating a database of isosurface imagery from ten large, scientific data sets, (2) conducting a user study with approximately 30 large data visualization experts who provided over 1000 responses, and (3) analyzing how our entropy-based VQ metrics compared with existing VQ metrics in predicting expert preference. In terms of findings, we find that our entropy-based metrics are able to predict expert preferences 68% of the time, while existing VQ metrics perform much worse (52%). This finding, while valuable on its own, also opens the door for future work on in situ camera placement. Finally, as another important contribution, this work has the most extensive evaluation to date of existing VQ metrics to predict expert preference for visualizations of large, scientific data sets.

关键词： viewpoint Quality Metrics view-dependent visualization Automating visualization

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Volumetric depth peeling for medical image display

Volumetric depth peeling for medical image display

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Conference on visualization and Data Analysis 2006

作者： Borland, David Clarke, John P. Fielding, Julia R. Taylor, Russell M., II Univ N Carolina Dept Comp Sci Chapel Hill NC 27599 USA

ISBN: (纸本)0819461008

Volumetric depth peeling (VDP) is an extension to Volume rendering that enables display of otherwise Occluded features in Volume data sets. VDP decouples occlusion calculation from the volume rendering transfer function, enabling independent optimization of settings for rendering and Occlusion. The algorithm is flexible enough to handle Multiple regions occluding the object of interest, as well as object self-occlusion, and requires no pre-segmentation of the data set. VDP was developed as an improvement for virtual arthroscopy for the diagnosis of shoulder-joint trauma, and has been generalized for use in other simple and complex joints, and to enable non-invasive urology Studies. In virtual arthroscopy, the Surfaces in the joints often occlude each other, allowing limited viewpoints from which to evaluate these surfaces. In urology Studies. the physician would like to position the virtual camera Outside the kidney collecting system and see inside it. By rendering invisible all voxels between the observer's point of view and objects of interest, VDP enables viewing from unconstrained positions. In essence, VDP can be viewed as a technique for automatically defining an optimal data- and task-dependent clipping Surface. Radiologists using VDP display have been able to perform evaluations of pathologies more easily and more rapidly than with clinical arthroscopy, standard volume rendering, or standard MRI/CT slice viewing.

关键词： visualization in medicine applications of volume graphics and volume visualization view-dependent visualization volume rendering

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view-dependent Level of Detail for Real-Time Rendering of Large Isosurfaces 2nd

View-Dependent Level of Detail for Real-Time Rendering of La...

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2nd Conference on Creativity in Intelligent Technologies and Data Science (CIT and DS)

作者： Shakaev, Vyacheslav Sadovnikova, Natalia Parygin, Danila Volgograd State Tech Univ Volgograd Russia

ISBN: (纸本)9783319655512;9783319655505

Isosurface extraction is a widely used method for interactive visualization of volumetric scalar data sets in many scientific, engineering and entertainment applications. When visualizing large isosurfaces, interactive frame rates are enabled by view-dependent level-of-detail rendering techniques. However, these techniques usually require lengthy pre-processing and thus are unsuitable for visualizing procedurally-generated or dynamic data. In this paper, we present an approach for real-time rendering of isosurfaces with the view-dependent level of detail. It is based on a pointerless octree for low-overhead hierarchy management and a modified Dual Contouring algorithm with geomorphing to avoid costly stitching and abrupt level-of-detail transitions at run-time. We demonstrate that our method can render large procedurally-generated surfaces without any precomputation. We show that our algorithm can approximate sharp features, which is an important requirement for many CAD/CAM/CAE applications.

关键词： Level-of-detail techniques view-dependent visualization Isosurface extraction Real-time rendering

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Importance-driven volume rendering 04

Importance-driven volume rendering

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IEEE visualization 2004 Conference

作者： Viola, I Kanitsar, A Gröller, ME Vienna Univ Technol Inst Comp Graph & Algorithms Vienna Austria

ISBN: (纸本)0780387880

This paper introduces importance-driven volume rendering as a novel technique for automatic focus and context display of volumetric data. Our technique is a generalization of cut-away views, which - depending on the viewpoint - remove or suppress less important parts of a scene to reveal more important underlying information. We automatize and apply this idea to volumetric data. Each part of the volumetric data is assigned on object importance which encodes visibility priority. This property determines which structures should be readily discernible and which structures are less important. In those image regions, where an object occludes more important structures it is displayed more sparsely than in those areas where no occlusion occurs. Thus the objects of interest are clearly visible. For each object several representations, i.e., levels of sparseness, are specified. The display of an individual object may incorporate different levels of sparseness. The goal is to emphasize important structures and to maximize the information content in the final image. This paper also discusses several possible schemes for level of sparseness specification and different ways how object importance can be composited to determine the final appearance of a particular object.

关键词： view-dependent visualization volume rendering focus plus context techniques level-of-detail techniques non-photorealistic techniques

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