Project 3: Intersect (Algo)

You can find the handout for this project here. Please skim the handout before your Algo Section!

You may look through the questions below before your section, but we will work through each question together, so make sure to attend section and participate to get full credit!

Cameras

When implementing ray tracing, you will often need to transform points between different coordinate spaces, e.g. between the world and camera spaces.

Remember that a camera's view matrix describes a transformation which takes points from world space to camera space.

Suppose you are given the position, look vector, and up vector of a virtual camera. How would you use this information to compute the camera's view matrix?

It may help to think about which intermediate vectors, matrices, etc. you need to find. Then, as a group, do your best to write out explicitly what calculations you could use to find the view matrix.

Generating Rays

Pixels In Space

Recall that the view plane describes an imaginary 2D plane, perpendicular to the camera's look vector, which is some distance away from the camera. Here's a diagram:

TODO
Figure 1: An example of a view plane with one pixel highlighted. A ray is shot through that pixel, and intersects a sphere in the scene.

Now, suppose you are given the following information about a specific pixel in an image:

  • : image width, in pixels
  • : image height, in pixels
  • : our pixel's row index
  • : our pixel's column index
  • : depth of the view plane from the camera position
  • : height view angle
  • : width view angle

Please calculate the 3D point on the view plane, (x, y, z), in camera space, which corresponds with this pixel.

We highly recommend drawing a diagram similar to Figure 1 as you go!

For the purpose of this algo, we use to express the depth of the view plane from camera position. However, this value is arbitrary—in your implementation, feel free to set it to . Why might that be? (Optional)

As always, please assume that the pixel (0, 0) corresponds to the top left pixel of the image.

Rays

We would like to shoot a ray from our camera, located at in world space, through a particular pixel's point on the view plane, in camera space. See Figure 1 for an example.

As a group, find an expression for this ray in the form , where is the origin of the ray, and is a vector in the direction it's being shot at. Both and must be in world space, so you're going to also need , the camera's view matrix. Be prepared to justify your answer to your TA.

Implicit Shape Primitives

In lecture, we derived implicit equations for spheres and cylinders to perform intersection tests. In this question, you will attempt to do the same with a cone.

Begin by writing out the implicit equations for a cone with the following parameters:

  • Radius = 0.5 at the flat base.
  • Height = 1
  • Origin is halfway along the height of the cone.

You will have to write two implicit equations, one for the conical top and one for the flat base. Each should be of the form , and each should have zero or more boundary conditions (e.g. ).

If you're unsure about your equations at this step, be sure to check with the TA before moving on.

Next, you will solve these implicit equations for their intersection points with some arbitrary ray . You will have to find values of such that satisfies our implicit equations.

Please find the values of at the points along the ray which intersect with the cone. Give in terms of and , then state for what conditions this solution is valid.

Example of Boundary Checking:

  • solves for the flat base, but it is not a valid solution.

Your final answer might be pretty long. Feel free to use sub-expressions, and don't be afraid to work together!

Transforming Object Normals

In the first part of the ray project, you will need to compute the lighting equation using the world space normal at the intersection point. From the previous question you may notice we have only computed the object space postion and normal. Thus we are going to have to transform the intersection data from object space to world space.

For positions, you already know how to do this (think back to lab 4!). However, transforming normals is not as simple as multiplying by the model matrix.

With your group, come up with an equation for the world space normal vector, , in terms of the following...

  • : the normal vector in object-space.
  • : the object's model matrix.

Pay attention to the respective sizes of the model matrix and normal vector.

Submission

Algo Sections are graded on attendance and participation, so make sure the TAs know you're there!