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Annotating 3D Content in Interactive, Virtual Worlds Christine LEHMANN Jrgen DLLNER Agenda 2 1. Motivation 2. Image-based Labeing of 3D Content 3. Enhanced Visibility Analysis 4. Smooth Transitions 5. Conclusions Annotating 3D Content

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Annotating 3D Content

in Interactive, Virtual Worlds

Christine LEHMANN Jürgen DÖLLNER

SLIDE 2

Agenda

1. Motivation
2. Image-based Labeing of 3D Content
3. Enhanced Visibility Analysis
4. Smooth Transitions
5. Conclusions

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 2

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Foundations: What is Labeling?

Labeling algorithms are faced with a number of fundamental challenges including:

□ Find non-conflicting positions close to labeled objects in the view plane (label embedding) □ Guarantee non-ambiguous assignments □ Ensure readability of labels

Different Approaches for labeling with different advantages :

□ Internal labels provide fast assocating to labeled objects □ External labels can be applied to very small objects (small visible amount)

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 3

Example: Boundary Labeling (external)

[Bekos et al.: „Boundary Labeling with Octilinear Leaders“, 2008]

Example: Street Labeling (internal)

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Example: Google Maps

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 4

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Example: Google Earth (1/3)

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 5

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Example: Google Earth (2/3)

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 6

?

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Example: Google Earth (3/3)

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 7

?

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Contribution

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 8

■ Our method enables attaching labels to salient points and lines for internal label placement ■ It uses visibility analysis to overcome general labeling obstacles, most important unambiguous label assignment Use both internal and external labeling: ■ Apply internal and external labels depending on visibility analysis ■ Enable transitions between external and internal label placement

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Example: Internal and External labels combined

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 9

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Image-based Labling of 3D Content

■ Labels are placed exclusively on visible areas of labeled objects ■ Visible pixels of 3D objects are collected from the identity-map (id-map)

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 10 Example: Internal Label Placement and External Label Placement with according id-maps.

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Enhanced Visibility Analysis for Labeling

■ From visible pixels, compute the distance transform and the normal field

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 11

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Enhanced Visibility Analysis for Labeling

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Enhanced Visibility Analysis for Labeling

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Enhanced Visibility Analysis for Labeling

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Enhanced Visibility Analysis for Labeling

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 15

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Smooth Transitions

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Labels switch from internal (with horizontal orientation) to external by ”walking” along the arrows (normal field).

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Conclusions

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 17

Image-based label placement:

■ Suitable for responsive systems and interactive 2D/2.5D/3D systems ■ Easy integration into service-based systems

Enhanced Visibility-driven label placement:

■ Unambiguous label assignments ■ No time-consuming 3D geometry analysis of labeled objects ■ Dynamic switching between internal and external labeling ■ Simultaneous usage of external and internal labeling based on visibility analysis

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Conclusions

Annotating 3D Content in Interactive, Virtual Worlds | Web3D 2013 | Christine LEHMANN 18

Contact: www.4dndvis.de

Christine Lehmann

christine.lehmann@hpi.uni-potsdam.de

Jürgen Döllner

juergen.doellner@hpi.uni-potsdam.de

Publications:

http://www.hpi.uni-potsdam.de/doellner/4dndvis/publikationen.html

This work was funded by the Federal Ministry of Education and Research (BMBF), Germany within the InnoProfile Transfer research group "4DnD-Vis".