Multiscale 3D navigation

McCrae, James; Mordatch, Igor; Glueck, Michael; Khan, Azam

doi:10.1145/1507149.1507151

Cited by 74 publications

(74 citation statements)

References 32 publications

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“…It presents three novel techniques for navigation in multiscale 3D virtual worlds, such as may be used in visualization of large scientific or engineering data sets. All are based on the use of the Cubemap [4] approach to provide a multiscale grid for orientation to location and scale and allows users to interact at different granularities of action. Trindade and Raposo provide automatic speed adjustment when flying in the virtual world, plus automated collision detection so that users avoid objects while flying.…”

Section: D Graphics Navigationmentioning

confidence: 99%

Interacting with multimedia: 3D navigation and media collections

Munson

2014

Multimed Tools Appl

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Editorial processPapers were solicited via an open call for papers and a number of submissions were received from research groups active in the area of interactive multimedia. Papers were rigorously reviewed on a double-blind basis by researchers recognized in the field. Each accepted paper was reviewed multiple times by multiple reviewers and six were selected for inclusion in this special issue. Papers on interacting with multimediaThe six accepted papers fall into two broad categories, each with three papers: 3D graphics navigation and multimedia collection organization. 3D graphics navigationTrindade and Raposo's paper is titled "Improving 3D Navigation Techniques in Multiscale Environments: A Cubemap-based Approach." It presents three novel techniques for navigation in multiscale 3D virtual worlds, such as may be used in visualization of large scientific or engineering data sets. All are based on the use of the Cubemap [4] approach to provide a multiscale grid for orientation to location and scale and allows users to interact at different granularities of action. Trindade and Raposo provide automatic speed adjustment when flying in the virtual world, plus automated collision detection so that users avoid objects while flying. Finally, they automatically position the pivot point for camera rotations in order to avoid unintuitive rotation behaviors associated with pivot points outside the field of view or behind the object of interest.A second paper addressing the 3D navigation domain is "Efficient Visualisation of 3D Models on Hardware-Limited Portable Devices" by Ramos, Ripolles, and Chover. Like the previous paper, they are interested in multi-resolution graphics representations, but for this paper, the focus is on mobile devices with limited computational and memory resources. Their Multimed Tools Appl (2014) 73:935-937

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Section: D Graphics Navigationmentioning

confidence: 99%

Interacting with multimedia: 3D navigation and media collections

Munson

2014

Multimed Tools Appl

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“…First, HoverCam requires an indexing structure called sphere-tree which has to be extracted from the mesh the user wants to inspect. Even the improved HoverCam metaphor [18], which exploits rasterization in order to find the closest point to the camera still requires the scene geometry to be accessible, in order to avoid sudden switching of the camera focus between the objects of the scene. In volume rendering this information is not accessible, since the visualized structures change frequently, based on the chosen transfer function or set clipping planes.…”

Section: Related Workmentioning

confidence: 99%

“…Because rotations may result in an altered up vector, our technique in contrast to the HoverCam metaphor [18] allows to adapt the up vector interactively. This can be done by dragging with the mouse at the corners of the screen in order to initiate an appropriate rotation.…”

Section: Image-based Volume Navigationmentioning

confidence: 99%

“…Instead of adding an option to fly backwards or automatically push the camera out of an object, as proposed by McCrae et al [18], we allow the user to rewind to previous positions by pressing the right mouse button. We believe that this solution, which has some similarity to forward and backward movement on a path generated for virtual endoscopy applications [10], is more robust and less confusing for the user.…”

Section: Integrated Camera Controlmentioning

confidence: 99%

“…The set of visible features can be changed easily by adjusting rendering parameters such as the transfer function, clipping planes or when switching between different rendering modes. Therefore existing navigation algorithms, which are based on the assumption that scenes consist of a set of separable features, e.g., McCrae et al [18], cannot be applied when navigating volumetric data. As a consequence, precomputed data structures would be needed for each possible set of rendering parameters which affect the visualized features.…”

Section: Introductionmentioning

confidence: 99%

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Context-aware volume navigation

Diepenbrock

Ropinski

Hinrichs

2011

2011 IEEE Pacific Visualization Symposium

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Figure 1: Three subsequent screenshots as made during the usage of our image-based volume navigation metaphor. Without changing the navigation mode, the user is able to inspect the data set in a behavior similar to a trackball and can also fly through internal structures when a collision detection is present. To support the spatial-awareness, appropriate thumbnails are displayed. ABSTRACTThe trackball metaphor is exploited in many applications where volumetric data needs to be explored. Although it provides an intuitive way to inspect the overall structure of objects of interest, an in-detail inspection can be tedious -or when cavities occur even impossible. Therefore we propose a context-aware navigation technique for the exploration of volumetric data. While navigation techniques for polygonal data require information about the rendered geometry, this strategy is not sufficient in the area of volume rendering. Since rendering parameters, e.g., the transfer function, have a strong influence on the visualized structures, they also affect the features to be explored. To compensate for this effect we propose a novel image-based navigation approach for volumetric data. While being intuitive to use, the proposed technique allows the user to perform complex navigation tasks, in particular to get an overview as well as to perform an in-detail inspection without any navigation mode switches. The technique can be easily integrated into raycasting based volume renderers, needs no extra data structures and is independent of the data set as well as the rendering parameters. We will discuss the underlying concepts, explain how to enable the navigation at interactive frame rates using OpenCL, and evaluate its usability as well as its performance.

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