Light

• In previous lessons we have discussed light in general.
• The problem with ray tracing is we can't do it quickly enough (or at least we couldn't in the past)
• So there is the classical lighting equation.
• Today is at best a quick overview of this process.
• A great demo is here
  • There are two models implemented here.
  • Phong-Blinn which is a pixel level algorithm.
  • Gouraud which is a surface level algorithm.
• We will discuss the Phong-Blinn model.
  • This model uses three components to compute the light at a pixel or fragment.
    • Ambient light or overall background light.
      • $k_a$
      • for each surface, or the amount of ambient light "reflected" off of the surface.
    • Diffuse or scattered light.
      • $k_d$
      • Modeled with Lambert's reflectance or Lambert's Law of cosines
    • Specular light
      • $k_s$
      • or light that is directly reflected off of the surface.
  • The intensity at a pixel is $I$ and is
    • $I = k_aR_a + k_dR_d + k_sR_s$
    • If there are many lights, $I = k_aR_a + \sum_{lights} (k_dR_d + k_sR_s) $
      • Where $R_*$ is computed based on the light under consideration.
• The model also employs a number of vectors.
  • 
  • The point where all vectors start is the pixel or polygon we are lighting.
  • N is the surface normal.
    • In Gouraund this is supplied per surface.
    • In Phong-Blinn this is supplied per vertex and interpolated.
      • In the example code, this is multiplied by a matrix because we may need to "undo" non-uniform scaling and other transformations.
    • 
  • L is the angle from the point to the light.
    • This is vec3 L = normalize(lightPos - vertPos);
  • R is the angle of reflection
    • Where direct light bounces off to.
  • V is a vector that points at the viewer.
  • H is a vector added by Blinn,
    • it is halfway between the viewer and the light.
    • It is a cheat that makes computations faster.
• Lights
  • We tend to model lights as pinpoint light sources for simplicity.
  • Lights can have many properties, but in this case we will assign the following: $L_a, L_d, L_s$
• remember, $L_*$ and k_*$ are probably 3-vectors.
• For ambient light, $I_a = k_a * L_a$
  • $k_a$ is the material constant.
    • If we wish very fine control, we can break this into red, green and blue components.
    • Otherwise it can be a single constant.
  • $L_a$ is the ambient lighting property of the scene.
    • Sometimes you see this broken down by light.
    • But normally it is constant across the scene.
• Diffuse light is computed using Lambert's law of cosines.
  • The amount of light reflected off a surface is related to the angle between the angle of incidence (L) and the normal vector (N)
  • $L\cdot N = |N| |L| cos \alpha$
  • where alpha is the angle between the two.
  • But if N and L are normalized, this is the result we want.
  • $I_d = k_D (N \cdot L) L_d$

  • void main() {
      vec3 N = normalize(normalInterp);
      vec3 L = normalize(lightPos - vertPos);
    
      // Lambert's cosine law
      float lambertian = max(dot(N, L), 0.0);
              

  • Notice if this is 0, we can not see the surface.
• Specular reflection is how the light interacts with the viewer.
  • This is related to the angle between the light and the viewer.
  • And is given by one version of Snell's law.
  • This takes an additional parameter shininess
    • This indicates how "tight" the reflection is.
    • Mirrors have a very high (100) shininess value) and produce vert tight reflections.
    • "Flat" finish surfaces have a low shininess value and produce bigger reflections.
  • $I_s = k_s(R \cdot V)^{\alpha}L_s $
  • We use the following

    • if(lambertian > 0.0) {
          vec3 R = reflect(-L, N);      // Reflected light vector
          vec3 V = normalize(-vertPos); // Vector to viewer
          // Compute the specular term
          float specAngle = max(dot(R, V), 0.0);
          specular = pow(specAngle, shininessVal);
                   

• $I = k_a L_a + k_d(N \cdot L)L_d + k_s(R \cdot V)^{\alpha}L_s$
• Blinn noted that $R \cdot V)$ can be approximated by a halfway vector between L and V.
  • $H = \frac{L+V}{|L=V|} $
  • This can be computed once per surface, except for very large surfaces.
  • And was faster (until GPU)
  • So it is common to do this replacement.
• We can tune this for various light sources.
  • A common addition is to allow the light to attenuate over distance.
  • The correct formula is inverse to the square of the distance.
  • But we frequently use the following
  • For constants a, b, c.
  • $A = \frac{1}{a + bd + cd^2}$
  • $I = A(k_a L_a + k_d(N \cdot L)L_d + k_s(R \cdot V)^{\alpha}L_s)$