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Scalable WIM : Effective Exploration in Large-Scale Astrophysical Environments . Yinggang Li * , Chi-Wing Fu + , Andrew Hanson * Department of Computer Science * Indiana University + Hong Kong University of Science & Technology. Travel 13 Billion Light Year Space. Using Miniature Map in VR.
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Scalable WIM: Effective Exploration in Large-Scale Astrophysical Environments Yinggang Li*, Chi-Wing Fu+, Andrew Hanson* Department of Computer Science *Indiana University +Hong Kong University of Science & Technology
Using Miniature Map in VR • Linearly Scaled Down World • manipulating the point-of-view through metaphor • Help travel/wayfinding in bounded environment.
System Design Challenges • Cover Scales and Sparsity of Universe • Fit into Normalized Depth Buffer (Level-of-Detail)
User Interaction Challenges • Adaptive Speed for fast and smooth travel • Global/ Local Context Awareness
Key Features of Scalable WIM • Rapid transformation of positions and vectors at any arbitrary scale. World Space Power Scaling • Providing a consistent and hierarchical structure for the unbounded sparse environment. Power Cues, MST • Context Knowledge for distance, scales, motion & orientation perception Overview Map, Eye Space Remapping …
Foundation developed for the mechanics of multi-scale visualization. • A Transparently Scalable Visualization Architecture for Exploring the Universe,Chi-Wing Fu and Andrew J. Hanson • Very Large Scale Visualization Methods for Astrophysical DataAndrew J. Hanson, Chi-Wing Fu, and E.A. Wernert • Part of Solar Journey project supported in part by NASA grants NAG5-8163, NAG5-11999, NAG5-13558, and SGI
Design and Implementation ContinuouslyScaling WIM 3rd person view Immersive 1st person view
1 Unit eye space = world space unit in meter df Power Spatial Scaling • Power Scaled Coordinates (PSC) • Map user control to the exponential power • Linear adjusting current spatial scale SWIM • Camera setting is unaffected during scaling • Linear scaling the entire world space relative to the current scale SWIM
Context Cues Power Cube: Nested and Centered Proximity Cue: Dynamic MST Overview Map: Context, Scale manipulation
Context Cues Nested Power Cylinder Proximity Cue: Projection Overview Map
Context Cues Landmark Reference Adaptive Reference
Logarithmic Space Mapping Logarithmically mapped Eye Space LogSky
Navigation Model • The Select-and-Go • Spatial Scaling • Path-based
Path Planning Logarithmically mapped Eye Space Linear Eye Space
Summary • User interface design principles for exploring sparse space of large scales. • 3D Scalable World-In-Miniature map incorporates continuous spatial scaling to assist travel. • Context cues customized for wayfinding in virtual astrophysical exploration.