CIS681 Lab 6

anti-aliasing & glossiness	input	anti-aliasing & glossiness	anti-aliasing, & soft shadows

anti-aliasing, glossiness & soft shadows	anti-aliasing & depth of field	anti-aliasing & depth of field

Best Image Award

For examples, see the previous student work linked to off of the main class web page, especially Autumn '08 and Autumn '03. Both have examples of soft shadows, glossiness and translucency; the latter has examples of motion blur and depth of field.

Objective

Assignment

• Call your program lab6.
• As before, the execution of your program should produce a .ppm file specified in the scene description file.
• As before, your lab will be graded under UNIX using the following (assuming the scene description file is called input.txt and the corresponding .ppm file is called output.ppm:

  make
  lab6 input.txt
  convert output.ppm output.jpg
  display
  

• Requirement:
  Show the following effects using non-uniformly scaled spheres and cubes (i.e., the data representations from Lab #4)
  • Anti-aliasing: Implement distributed ray tracing using jittered spatial 4x4 subsampling. Shoot one ray per sub-sample.
  • Soft shadows: shoot one ray to a randomized, but limited, area around a point light source to compute soft shadows.
  • Motion blur: sample during a time interval. You can hardcode the movement of one or more objects. Here is some playing around I did with motion blur.
  • Depth of Field: sample a point on the lens and trace a ray to the focal point
• Include with your submission at least 2 interesting scene description files that demonstrate all of the distributed ray tracing effects that you want credit for.
• Include with your submission a README file explaining your implementation and the scenes.
• Include with your submission some image files showing results. These can be submitted or made available off a personal web page or using something like Picases Web Albums - let the grader know via email or via the README file how to access the images. Your submitted scene description files must be able to generate these images.

Sample images from previous student work

• aliasing v anti-aliasing
• soft shadows
• glossiness
• translucency
• motion blur
• depth of field

Extra credit

• Options to DRT
  • Gloss: sample in the direction of the computed reflection vector
  • Translucency: sample in the direction of the computed refrection vector
• ray trace CSG models
• ray trace implicit surfaces one of the spatially based methods to speed-up execution such as BSP, spatial enumeration, octtree - you must be able to easily (easy for the grader) run with and without the speed-up so that the grader can compare performance.
• interesting images because of the effects included and/or complexity of the scene