Agent-Based Annotation of Interactive 3D Visualizations

Götzelmann, Timo; Hartmann, Knut; Strothotte, Thomas

doi:10.1007/11795018_3

Cited by 28 publications

(18 citation statements)

References 15 publications

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“…Another method for interactive labeling has been proposed by Götzelmann et al [21], which is based on heuristic optimization using so-called layout agents. This method also maintains coherence across frames in a dynamic setup.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Path Exploration on Mobile Devices

Birsak

Weiss

Wonka

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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Abstract-We present a novel framework for visualizing routes on mobile devices. Our framework is suitable for helping users explore their environment. First, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.

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Section: Related Workmentioning

confidence: 99%

Dynamic Path Exploration on Mobile Devices

Birsak

Weiss

Wonka

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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“…Hence, only relevant graphical objects are annotated. Therefore, the 3D visualization component of our system integrates a realtime layout for secondary elements that aims at minimizing the visual changes during user interactions (see [20]). Finally, the renderer employs transparency to de-emphasize unimportant objects.…”

Section: The Search Processmentioning

confidence: 99%

An interactive 3D framework for anatomical education

Vázquez

Götzelmann

Hartmann³

et al. 2008

Int J CARS

Self Cite

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Object: This paper presents a 3D framework for Anatomy teaching. We are mainly concerned with the proper understanding\ud of human anatomical 3D structures.\ud Materials and methods: The main idea of our approach is taking an electronic book such as Henry Gray’s Anatomy of the human body, and a set of 3D models properly labeled, and\ud constructing the correct linking that allows users to perform mutual searches between both media.\ud Results: We implemented a system where learners can interactively explore textual descriptions and 3D visualizations.\ud Conclusion: Our approach allows easily performing two search tasks: first, the user may select a text region and get a view showing the objects that contain the selected structures, and second, using the interactive exploration of a 3D model the user may automatically search for the textual description of the structures visible in the current view.Peer ReviewedPostprint (published version

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“…Several approaches deal with the labeling of single 3D objects for illustration purposes [1]. Göetzelmann et al [11] describe an algorithm which uses distance fields to compute ideal labeling positions and employ agents to preserve temporal coherency. Unfortunately, during camera movements labels are hidden and jittering occurs.…”

Section: Related Workmentioning

confidence: 99%

Temporally coherent real-time labeling of dynamic scenes

Vaaraniemi

Treib

Westermann

2012

Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications

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The augmentation of objects by textual annotations provides a powerful means for visual data exploration. Especially in interactive scenarios, where the view on the objects and, thus, the preferred placement of annotations changes continually, efficient labeling procedures are required. As identified by a preliminary study for this paper, these procedures have to consider a number of requirements for achieving an optimal readability, e.g. cartographic principles, visual association and temporal coherence. In this paper, we present a force-based labeling algorithm for 2D and 3D scenes, which can compute the placements of annotations at very high speed and fulfills the identified requirements. The efficient labeling of several hundred annotations is achieved by computing their layout in parallel on the GPU. This allows for a real-time and collision-free arrangement of both dynamically changing and static information. We demonstrate that our method supports a large variety of applications, e.g. geographical information systems, automotive navigation systems, and scientific or information visualization systems. We conclude the paper with an expert study which confirms the enhancements brought by our algorithm with respect to visual association and readability.

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Agent-Based Annotation of Interactive 3D Visualizations

Cited by 28 publications

References 15 publications

Dynamic Path Exploration on Mobile Devices

Dynamic Path Exploration on Mobile Devices

An interactive 3D framework for anatomical education

Temporally coherent real-time labeling of dynamic scenes

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