MONT 104S Perception and VR--Fall 2008
Exam 2 Review
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Topics for Exam 2:
This sheet is intended to help you prepare for the second midterm in this course. The exam will
cover all readings and lectures up through Friday, November 14, Lecture 22. It will focus
on the topics since the first exam, however you are responsible for material learned in the first
portion of the semester as well. You may bring one sheet of paper, 8.5" x 11", with notes on
one side to the exam. Other than this one sheet, the exam
will be closed book and closed note. The following list of topics that we have covered since
the first midterm and may appear on the exam.
1. Seeing Depth
Monocular cues to depth
Binocular stereo
Retinal image disparity
The correspondence problem
Random dot stereograms
Neural responses to stereo disparity
2. Visual development
Role of experience in visual development
Critical period
Methods for Testing infant vision
Characteristics of newborn vision
3. Vision and Art
Depth cues used by artists
Height in the visual field
Interposition
Relative size
Texture gradients
Shading
Aerial perspective
Linear perspective
Size Constancy
Spatial Summation
Figure Ground
Impossible figures--Techniques used to generate these.
4. Illusions
Ambiguities--List examples, What do they tell us about visual perception?
Distortions
Top down vs. Bottom up explanations.
Orientation illusions
Perspective distortions
Size constancy and Emmert's law
The moon illusion
Paradoxes
Fictions--illusory contours.
5. Visual Attention
Importance of visual attention
Visual Search experiments
Efficient and Inefficient searches
Inattentional blindness
Change blindness
6. Virtual reality
Current state of virtual reality systems
Limitations of virtual reality systems
More limited VR (e.g. games, CAD, flight simulators)
Benefits of VR
7. Computer graphics on the web
Binary numbers
Representation of images
Resolution vs. size of image
Bit Depth
Color representation
Indexed color
RGB color (hexadecimal representation)
Hexadecimal numbers
File compression
8. Graphics for Virtual Reality
Synthetic camera model.
Steps used in creating 3D models and rendering them
Building 3D models
Lighting and Shading
Camera properties
Transformation, Clipping, Projection and Rasterization.
Translation, Rotation, Scaling
Hidden Surface Removal
Painter's algorithm
Z-Buffer algorithm
Lighting and shading
Basis of shading models
Ray Tracing and Radiosity (basic idea)
Texture Mapping
Collision detection
User Interfaces
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Assignments | | Lecture Notes
Constance Royden--croyden@mathcs.holycross.edu
MONT 104S--Perception and VR
Date Created: February 7, 2008
Last Modified: November 14, 2008
Page Expires: November 14, 2009