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Interactive Context Driven Visualization Tools for Augmented Reality

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Introduced by Bier et al. in 1993. Reveal hidden information. Enhance data of interest ... Bier et al. 1993. Ropinski et al. 2004. erick m ndez [ mendez_at_icg. ... – PowerPoint PPT presentation

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Title: Interactive Context Driven Visualization Tools for Augmented Reality


1
Interactive Context Driven Visualization Tools
for Augmented Reality
  • Erick Méndez, Denis Kalkofen, Dieter Schmalstieg

2
Context Driven Tools
  • Affect regions defined by magic lenses
  • Affect according to contextual information
  • Apply any possible rendering style change
  • Multiple volumetric convex shapes

3
Context Driven Tools
4
Magic Lenses
  • Introduced by Bier et al. in 1993
  • Reveal hidden information
  • Enhance data of interest
  • Suppress distracting information
  • Ropinski et al.
  • Multi pass rendering 3D volumetric magic lenses

Bier et al. 1993
Ropinski et al. 2004
5
Context Sensitive Scene Graph
  • Scene graph framework
  • Studierstube
  • Problem
  • Information scattered throughout scene graph
  • Requires full search
  • May require multiple manipulations
  • Complicated by mix-and-match scene graph
    composition

search
6
Context Sensitive Scene Graph
  • Generic parameterization during traversal
  • Reitmayr et al.
  • Add generic parameter passing technique
  • Binding of parameters happens during traversal
  • Evaluated in the last possible moment
  • Part of the complexity shifted to the data
    structure
  • Based on existing standard scene graph
  • Scene graph becomes a template structure - Collada

7
Traversal and State
  • Scene graph
  • State stack

1
3
2
  • Transformation
  • Material parameters
  • Light sources

8
Context Sensitive Magic Lenses
  • Affect regions defined by magic lenses
  • Objects grouped by context families
  • Attach styling subgraph depending on contextual
    information
  • Multiple volumetric convex shapes

9
Context Families and Styling Subgraphs
  • Subgraphs with contextual information
  • Affected regardless of position in scene graph
  • Build specialized subgraphs during traversal
  • Arbitrary subgraphs
  • Material
  • Transformations
  • Shape Nodes
  • Result depends on scene graph behavior

10
Rendering and Scene Graph
  • Objects grouped by context families
  • Every family precedes a styling subgraph
    depending on context
  • Objects on context families rendered three times,
    behind, inside and in front lenses

Node in context family
Behind
In front
Styling subgraph
Inside
11
Rendering and Scene Graph
  • Ropinskis three pass technique
  • Lenses depth information is encoded in textures -
    FBO
  • Depth-textures used to determine 3D position of
    every fragment
  • Magic lens is only a region
  • Not anymore a styling tool

12
Multiple Volumetric
  • Use multiple textures
  • Find containers of every fragment
  • Multiple lens intersection built by concatenation
    of styling subgraphs
  • Concave lenses
  • High number of passes required

13
Multiple Volumetric
  • Hepatica - Red
  • Porta - Blue
  • Tumors - Green

14
Pros and Cons
  • Avoid searching
  • Scene graph decomposition of styles and objects
  • Dynamic styling of nodes
  • Exploits contextual information
  • Multiple arbitrary convex shapes
  • Complexity shifts to scene graph data structure
  • Results depend on scene graph behavior
  • Control depends on contextual detail
  • Number of passes
  • Caching

15
Applications
  • Real data has context
  • Important in AR
  • Implicit user interaction
  • Exploits contextual information
  • Interaction does not depend on the tool but on
    the information itself

16
www.studierstube.org
Funded by The Austrian Research Promotion Agency
(FFG)
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