CubicalPath-dynamic potential fields for guided exploration in virtual environments

Beckhaus, Steffi; Ritter, Felix; Strothotte, Thomas

doi:10.1109/pccga.2000.883963

Cited by 15 publications

(19 citation statements)

References 6 publications

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“…In particular, a fully automatic navigation system designed for a specific approach would not be able to adapt to the user's intentions. This is a very important prerequisite, since the user might change her intentions during a visual analysis process frequently [3]. Therefore we have combined the strengths of an interactive approach with those of a reactive approach leading to a semi-automatic navigation metaphor.…”

Section: Design Considerationsmentioning

confidence: 99%

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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Section: Design Considerationsmentioning

confidence: 99%

Context-aware volume navigation

Diepenbrock

Ropinski

Hinrichs

2011

2011 IEEE Pacific Visualization Symposium

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“…Using local search to optimise the function permits to avoid this kind of behaviour and to control the camera motion. Beckhaus et al [4] first introduced local search algorithms to camera control; their system employs Artificial Potential Fields to generate collision-free camera paths through a virtual environment. Bourne and Sattar [7] proposed a system that employs sliding octrees to guide the camera to the optimal camera configuration.…”

Section: A Generalised Approachesmentioning

confidence: 99%

“…Local search approaches [4], [6], [9], on the other hand, offer real-time performance and allow the designer to control also camera motion parameters such as speed and acceleration but they tend to stick to local optimum solutions.…”

Section: Introductionmentioning

confidence: 99%

Combining local and global optimisation for virtual camera control

Burelli

Yannakakis

2010

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games

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Abstract-Controlling a virtual camera in 3D computer games is a complex task. The camera is required to react to dynamically changing environments and produce high quality visual results and smooth animations. This paper proposes an approach that combines local and global search to solve the virtual camera control problem. The automatic camera control problem is described and it is decomposed into sub-problems; then a hierarchical architecture that solves each sub-problem using the most appropriate optimisation technique is proposed. The approach is compared to pure local search solutions to showcase the advantages of the proposed architecture in terms of visual performance and robustness.

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“…In virtual worlds control of camera (user's) movement can be roughly classified into two categories: navigation and exploration [1]. Classification simply depends on the task or purpose of navigation what is connected with the precision of a goal object definition.…”

Section: Requirements For User's Movement Supportmentioning

confidence: 99%

“…Very interesting and quite general is the method published in Beckhaus' dissertation [1]. She concentrated on scene voxelisation, and by adding certain weights (gradients) to the voxels author characterizes total impact on a point of view.…”

Section: Related Workmentioning

confidence: 99%

Camera Positioning Support Based on Potential Field in a Static Virtual Environment

Wojciechowski

Computational Imaging and Vision

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Abstract:This paper introduces a new method of camera movement support. The task is aided by means of innovatively generated potential field [7]. A new construction of the potentials lets the camera be attracted by implicit goals and simultaneously prevents the observer from getting into the object -collisions detection. Paper introduces also a new way of evaluating final position of the camera to let the user come up to a visually selected object quite smoothly. It reduces discrepancy between movement trail and the user's intentions.

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CubicalPath-dynamic potential fields for guided exploration in virtual environments

Cited by 15 publications

References 6 publications

Context-aware volume navigation

Context-aware volume navigation

Combining local and global optimisation for virtual camera control

Camera Positioning Support Based on Potential Field in a Static Virtual Environment

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