Ronny Peikert 1 Over Two Decades of Integration-Based, Geometric Vector Field Visualization Part III: Curve based seeding Planar based seeding Ronny Peikert ETH Zurich 1

Ronny Peikert 2 Overview Curve-based seeding objects  steady flow stream surfaces  unsteady flow "path surfaces" "streak surfaces" Planar-based seeding objects  steady flow  unsteady flow Orthogonal surfaces of a vector field Discussion, future research opportunities 2

Ronny Peikert 3 Stream surfaces 3 Definition  A stream surface is the union of the stream lines seeded at all points of a curve (the seed curve).  Motivation  separates (steady) flow, flow cannot cross the surface  surfaces offer more rendering options than lines (perception!)‏

Ronny Peikert 4 Stream surfaces 4 First stream surface computation  done before SciVis existed!  Early use in flow visualization (Helman and Hesselink 1990) for flow separation Image: Ying et al.

Ronny Peikert 5 Stream surface integration Problem: naïve algorithm fails if streamlines diverge or grow at largely different speeds. Example of failure: seed curve which extends to no-slip boundary: 5 fixed time steps slightly better: fixed spatial steps wall (u = 0)‏ streamli nes

Ronny Peikert 6 Hultquist's algorithm Hultquist's algorithm (Hultquist 1992) does optimized triangulation:  Of two possible connections choose the one which is closer to orthogonal to both streamlines. 6 systematic triangulation optimized triangulation strea mline s

Ronny Peikert 7 Hultquist's algorithm (2)‏ The problem of divergence or convergence is solved by inserting or terminating streamlines. 7 inserted streamline terminated streamline

Ronny Peikert 8 Curvature of front curve controlled by limiting the dihedral angle of the mesh (Garth et al. 2004)‏ Adaptive refinement Intricate structure of vortex breakdown bubble Curvature of front curve controlled by limiting the dihedral angle of the mesh (Garth et al. 2004)‏ Adaptive refinement Intricate structure of vortex breakdown bubble 8

Ronny Peikert 9 Refined Hultquist methods (2)‏ Cubic Hermite interpolation along the front curves. Runge-Kutta used to propagate front and its covariant derivatives (Schneider et al. 2009)‏ 9

Ronny Peikert 10 Analytical methods In a tetrahedral cell the vector field is linearly interpolated: Streamline has equation Stream surface seeded on straight line (entry curve) is a ruled surface. Exit curve is computed analytically respecting boundary switch curves 10 HultquistScheuermann (Sche uerm ann et al., 2001).

Ronny Peikert 11 Implicit methods A stream function is a special*) solution of the PDE [don't confuse with a potential which has PDE ] 11 streamline stream surfaces *) mass flux =  ‏

Ronny Peikert 12 Implicit methods (2)‏ Stream functions  exist for divergence-free vector fields (= incompressible flow)‏  … and for compressible flow, if there are no sinks/sources  are computed by solving a PDE (with appropriate boundary conditions)‏  yield stream surfaces by isosurface extraction  Advantage of stream function method (Kenwright and Mallinson, 1992, van Wijk, 1993): conservation of mass! 12

Ronny Peikert 13 Implicit methods (3)‏ Computational space method, implicit method per cell, respects conservation of mass (van Gelder, 2001)‏ 13 Delta wing. Stream surface close to boundary. Flow separation and attachment.

Ronny Peikert 14 Rendering of stream surfaces Stream arrows (Löffelmann et al. 1997)‏ Texture advection on stream surfaces (Laramee et al. 2006)‏ 14

Ronny Peikert 15 Rendering of stream surfaces (2)‏ 15

Ronny Peikert 16 Invariant 2D manifolds Critical points of types saddle and focus saddle (spiral saddle) have a stream surface converging to them. And so do periodic orbits of types saddle and twisted saddle. 16

Ronny Peikert 17 Invariant 2D manifolds Saddle connectors (Theisel et al, 2003)‏  Visualization of topological skeleton of 3D vector fields  Intersection of 2D manifolds of (focus) saddles 17 Flow past a cylinder saddle-connector of a pair of focus saddle crit. points

Ronny Peikert 18 Geodesic circles stream surface algorithm (Krauskopf and Osinga 1999)‏  Front grows radially (not along stream lines)‏  by solving a boundary value problem  "immune" against spiraling Geodesic circles stream surface algorithm (Krauskopf and Osinga 1999)‏  Front grows radially (not along stream lines)‏  by solving a boundary value problem  "immune" against spiraling 18

Ronny Peikert 19 Invariant 2D manifolds (3)‏ Topology-aware stream surface method (Peikert and Sadlo, 2009)‏  starts at critical point, periodic orbit, or given seed curve  handles convergence to saddle or sink 19

Ronny Peikert 20 Path surfaces Particle based path surfaces (Schafhitzel et al. 2007)‏  Density control a la Hultquist  Point splatting  1st order Euler integration  GPU implementation interactive seeding! 20 Path surface of unsteady flow past a cylinder

Ronny Peikert 21 Streak surfaces Smoke surfaces are a technique based on streak surfaces (von Funck et al. 2008)  advected mesh is not retriangulated, but  size/shape of triangles is mapped to opacity  simplified optical model for smoke 21

Ronny Peikert 22 Planar based seeding Planar-based seeding for steady flow  Stream polygons (Schroeder et al. 1991)‏  Flow volumes (Max et al. 1993)‏  Implicit flow volumes (Xue et al. 2004) 22

Ronny Peikert 23 Planar based seeding (2)‏ Planar-based seeding for unsteady flow  Extension of flow volume technique to unsteady vector fields (Becker et at. 1995) Image: Crawfis, Shen, Max Unsteady flow volume

Ronny Peikert 24 Orthogonal surfaces Surfaces (approximately) orthogonal to a vector (or eigen- vector) field as a visualization technique (Zhang et al. 2003). If a vector field is conservative,, its potential can be visualized with a scalar field visualization technique, such as isosurfaces. Orthogonal surfaces exist also in the slightly more general case of helicity-free vector fields. However, 3D flow fields usually have helicity. Also eigenvector fields of symmetric 3D tensors. Consequence: For many applications, orthogonal surfaces are less suitable (discussed by Schultz et al. 2009). 24

Ronny Peikert 25 Discussion, future research There is no single best flow vis technique! Most effort spent so far on streamlines  Extension to unsteady flow somewhat lacking behind  Also extension to stream surfaces (and unsteady variants)‏  Other areas needing more research:  Uncertainty visualization tools for geometric techniques  Comparative visualization tools for geometric techniques  Improved surface and volume construction methods  Automatic seeding for surfaces and volumes 25

Ronny Peikert 26 The End 26  Thank you for your attention! Any questions?  We would like to thank the following:  R. Crawfis, W. v. Funck, C. Garth, J.L. Helman, J. Hultquist, H. Loeffelmann, N. Max, H. Osinga, T. Schafhitzel, G. Scheuermann, D. Schneider, W. Schroeder, H.W. Shen, H. Theisel, T. Weinkauf, S.X. Ying, D. Xue  PDF versions of STAR and MPEG movies available at: 