Asg 2: Rotate the camera in 3D perspective

Objectives

Assignment

1. Use the gldraw.py program as the starting point, which allows reading in of Alias Wavefront .obj files.
2. Create a Camera object that contains the following data objects:
   • pos position of the camera,
   • ref ref point position, and
   • vup the camera's tilt vector.
3. Set up keyboard callbacks that adjust the camera position and reference to rotate the camera
   • pitching forward and back (rotate about x),
   • panning left and right (rotate about y), and
   • tilting left and right (rotate about z).
4. Suggested key bindings (if you use different ones, provide a USAGE file):
   • h: pan left
   • j: pitch down
   • k: pitch up
   • l: pan right
   • n: tilt right
   • o: tilt left

Details

1. Your OpenGL code should set up a projection matrix with gluPerspective(90,1.0,1.0,1000.0)
2. Your OpenGL code should just use an identity matrix for the modelview matrix, i.e., glLoadIdentity()
3. Initialize the camera position, reference point, and tilt vector and use them as arguments to gluLookAt(), starting with:
   • pos: 0.0,0.0, 10.0,
   • ref: 0.0,0.0,-10.0,
   • vup: 0.0,1.0,0.0.
4. Set up keyboard callbacks so that, depending on the key pressed, e.g., j to pitch down, the camera object is called so that "the camera rotates itself", e.g., the_camera.pitch(-10.0);.
5. The camera object can be made global, e.g., declared as global the_camera at the top of gldraw.py just like global points.
6. For camera rotations, take a look at these basic rotations expressed in matrix form. You will probably need to write these out in long form to change to position of the camera's reference point with respect to the camera's position or to use numpy.array matrices (easier).

Requirements

1. When you rotate the camera (e.g., pitch), it should eventually make a full 360 degree rotation.
2. Test your rotation code with the camera in place, e.g., don't translate the camera before testing rotation.

Turn in

1. A README file containing
   1. Course id--section no
   2. Name
   3. Brief solution description (e.g., program design, description of algorithm, etc., however appropriate).
   4. Lessons learned, identified interesting features of your program
   5. Any special usage instructions
2. source code (.py source)

How to hand in

Grading scheme