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Implicit Surfaces Tom Ouyang January 29, 2004
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Outline Properties of Implicit Surfaces Polygonization Ways of generating implicit surfaces Applications
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What are Implicit Surfaces? 2D Geometric shapes that exist in 3D space Surface representation through a function f(x, y, z) = 0 Most methods of analysis assume f is continuous and not everywhere 0.
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Example of an Implicit Surface 3D Sphere centered at the origin x 2 + y 2 + z 2 = r 2 x 2 + y 2 + z 2 – r 2 = 0
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Point Classification Inside Region: f < 0 Outside Region: f > 0 Or vice versa depending on the function f < 0 f > 0 f = 0
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Manifold A 2D Manifold separates space into a natural inner and natural outer region A manifold surface is “watertight” and contains no holes or dangling edges
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Manifold It is difficult to determine enclosed region in non-manifold surfaces
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Surface Normals Usually gradient of the function f(x,y,z) = ( f/ x, f/ y, f/ z) Points at increasing f
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Properties of Implicits Easy to check if a point is inside the implicit surface Evaluate f at that point Fairly easy to check ray intersection Substitute ray equation into f for simple functions Binary search
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Properties of Implicits Simple set operations Union: min(f, g) Intersection: max(f, g) Difference: max(f,-g) Complement: -f f < 0g < 0 f < 0 g < 0
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Polygonal Representation Partition space into convex cells Find cells that intersect the surface traverse cells Compute surface vertices
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Spatial Partitioning Exhaustive Enumeration Divide space into regular lattice of cells Traverse cells polygonized
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Spatial Partitioning Subdivision Start with root cell and subdivide Continue subdividing traverse cells
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Spatial Partitioning Adaptive Polygonization
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Determining Intersections
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Implicit Surfaces vs Polygons Advantages Smoother and more precise More compact Easier to interpolate and deform Disadvantages More difficult to display in real time
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Implicits vs Parametrics Advantages Implicits are easier to blend and morph Interior/Exterior description Ray-trace Disadvantages Rendering Control
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Types of Implicit Surfaces Mathematic Polynomial or Algebraic Non polynomial or Transcendental Exponential, trigonometric, etc. Procedural Black box function
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Algebraic Surfaces Degree 6CubicDegree 4
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Non-Algebraic Surfaces
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Distance Functions D(p) = R Sphere: Distance to a point Cylinder: Distance to a line
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Distance Functions
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Interpolation Interpolate corresponding algebraic equations
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Solid Modeling Solid model consists of a surface and its interior Point classification Constructive solid geometry (CSG)
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Variational Implicit Surfaces Specify boundary locations boundary, interior, and exterior Generate surfaces that interpolate boundary points
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Compression Mesh of 473,000 vertices and 871,000 facets Implicit function of 32,000 terms
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Procedural Methods f as an arbitrary process or algorithm Fractal (Julia Set)
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Deformation p’ = D(p) D maps each point in 3-space to some new location Twist, bend, taper, and offset
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Visualization Contours
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Visualization Particle Display
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Particle Display Demo
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Visualization Ray Tracing
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Other Coordinate Systems Cylindrical Coordinates Spherical Coordinates
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Summary Surface defined implicitly by f(p) = 0 Easy to test if point is on surface, inside, or outside Easy to handle blending, interpolation, and deformation Difficult to render
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