Blobby Modelling - PowerPoint PPT Presentation

1 / 24
About This Presentation
Title:

Blobby Modelling

Description:

Each point in space generates a field of force, which drops off as a function of ... 'popping' between levels can be misleading. What else? Complex primitives! ... – PowerPoint PPT presentation

Number of Views:48
Avg rating:3.0/5.0
Slides: 25
Provided by: alexb46
Category:

less

Transcript and Presenter's Notes

Title: Blobby Modelling


1
Blobby Modelling
  • Alex Benton

2
What is it?
  • Metaball, or Blobby, Modelling is a technique
    which uses implicit surfaces to produce models
    which seem more organic or blobby than
    conventional models built from flat planes and
    rigid angles.
    --me

3
Examples--
Paul Bourke (1997)
4
Examples--
New Train - Wyvill
5
Examples--
Cabrit Model - Wyvill
6
Uses of Blobby Modelling
  • Organic forms and nonlinear shapes
  • Scientific modelling (electron orbitals, some
    medical imaging)
  • Muscles and joints with skin
  • Rapid prototyping
  • CAD/CAM solid geometry

7
How does it work?
  • Each point in space generates a field of force,
    which drops off as a function of distance from
    the point.
  • A blobby model is formed from the shells of these
    force fields, the implicit surface which they
    define in space.

8
How does it work? (Bourke 1997)
  • Several force functions work well. Examples
  • Blobby Molecules - Jim Blinn
  • F(r) a e-br2
  • Here b is related to the standard deviation of
    the curve, and a to the height.

9
How does it work? (Bourke 1997)
  • Several force functions work well. Examples
  • Metaballs - Blinn again (I think)
  • F(r) a(1- 3r2 / b2) 0 lt r lt b/3
    (3a/2)(1-r/b)2 b/3 lt r lt b 0 b lt r
  • Here a is a scaling factor and b bounds the
    radius of effect.

10
How does it work? (Bourke 1997)
  • Several force functions work well. Examples
  • Soft Objects - Wyvill Wyvill
  • F(r) a(1 - 4r6/9b6 17r4/9b4 - 22r2 / 9b2)
  • This function is basically the first few terms in
    the series expansion of an exponential function.
  • a scales the function, and b determines
    radius of influence.
  • Advantage rapid computation.

11
How does it work? (Bourke 1997)
  • Force functions comparison

12
How does it REALLY work?
  • Once you have your force function, the next task
    is to actually find the implicit surface.
  • You already know one technique for this
    Marching Cubes.
  • However, marching cubes is very accurate and
    detailed working at lower levels of precision is
    difficult.

13
How does it REALLY work?
  • Introducing OCTREES.
  • An Octree is a recursive subdivision of space
    which homes in on the surface, from larger to
    finer detail, and then uses similar techniques to
    Marching Cubes approximate the implicit surface
    with polygons.
  • Octrees can display initial approximations of the
    surface immediately.

14
How does it REALLY work?
  • Because the octree is a cube in space, you
    evaluate the force function F(r) at each vertex
    of the cube.
  • This allows you to polygonalize the cube, in the
    same manner as Marching Cubes.
  • To refine the polygonalization, you subdivide the
    cube into eight subcubes, discarding any child
    whose vertices are all hot or all cold.

15
How does it REALLY work?
  • Recursive subdivision

16
How does it REALLY work?
  • Recursive subdivision

17
How does it REALLY work?
  • Recursive subdivision

18
How does it REALLY work?
  • Find the edges, separating hot from cold

19
How does it REALLY work?
  • For each Octree with hot and cold corners, you
    can find the best-fitting polygons that
    approximate that surface. The edges of the
    polygons pass through points linearly
    interpolated along the edges of the cube.
  • T (0.5 - F(P1)) / (F(P2) - F(P1))
  • P P1 T (P2 - P1)

20
Pros and Cons
  • Benefits
  • Very rapid general shapes
  • Allows rapid manipulation at multiple levels of
    detail
  • Surface complexity is not a function of data
    complexity
  • Enables a poor mans solid geometry

21
Pros and Cons
  • Downsides
  • Flat surfaces, sharp angles, etc. are difficult
  • Difficult to precisely achieve targetted features
  • popping between levels can be misleading

22
What else?
  • Complex primitives!
  • Why settle for a point when you could have a
    line? Or a spline?
  • Colors and textures
  • The same math that blends forces can blend
    textures and colors as well.
  • Many other avenues of research currently open...

23
YAMM (Yet Another Metaball Modeller)
  • YAMM is my hobby and research work.
  • Its not polished software. Its home made.
  • Available from J\Staff Folders\Alex Benton\YAMM

24
Sources for more info...
  • http//astronomy.swin.edu.au/pbourke/modelling/im
    plicitsurf/
  • http//pages.cpsc.ucalgary.ca/blob/
  • http//www.cs.wisc.edu/schenney/courses/cs638-f20
    01/lectures/cs638-11.ppt - Octrees
  • D. RicciA Constructive Geometry for Computer
    GraphicsComputer Journal, May 1973
  • Jules BloomenthalPolygonization of Implicit
    SurfacesComputer Aided Geometric Design, Issue
    5, 1988
  • Brian Wyvill, Craig McPheeters, Geoff
    WyvillAnimating Soft ObjectsThe Visual
    Computer, Issue 4 1986
  • Brian Wyvill, Craig McPheeters, Geoff WyvillSoft
    ObjectsAdvanced Computer Graphics (Proc. CG
    Tokyo 1986)
Write a Comment
User Comments (0)
About PowerShow.com