Written examination:

Date 26th of October, 9.00 – 14.00

Lab8 points (2 for each lab)

Project 12 points (see specific assessment criteria below)

Exam20 points (relevant lectures see below)

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40 points

Points / Percent / Grade
24 / 0,6 / G
32 / 0,8 / VG
Points / Percent / Grade
24 / 0,6 / E
27 / 0,675 / D
30 / 0,75 / C
33 / 0,825 / B
36 / 0,9 / A

Assessment criteria project

The maximum number of course-points on the project is 12 (out of the max 40 for the course). However when we assess your project we will calculate criteria_points on a scale from 0 - 30 (see the list below). Your project score will then be calculated using this function:
project_score = min_of(12, (criteria_points / 2) ).

This implies that any criteria_score above 24 will equal 12 points.

Criteria

Scientific method and report
Formulation of hypothesis, research question (2)
Description of method (2)
Performance of trials / number of test persons (2)
Presentation of results (2)
Discussion of methods and results (2)

Oral presentation
Slide material (2)
Quality of oral presentation (2)

Implementation aspects
Implementation of obstacle course (1)
Works immediately (1)
Implementation of Interaction (2)
Implementation of shading (3)
Implementation of shadowmapping (2)
Other spatial cues/camera (1)
Other
special bonus for original solutions (4)
delivered in time (2)

Sum: 30

What from the lectures is important for the exam?

Lecture 1: Intro to IGS

Everything is relevant with exception of: “Historic facts”

Also: Book pages on perception from Kalawsky: pages 50-59

Lecture 2: CG primer

Concepts of global and local rendering

Traditional techniques for local rendering (shading)

Shader programs versus Fixed point pipeline

Reference frames, conceptual (constructing them and their usage)

Foley + Angle: All pages

Lecture 3: VRT

Everything is relevant for the labs and project

Expect also VRT related questions in the written exam

Could be conceptual questions or you might need to analyze a bit of code

Lecture 4: Texture mapping

Slides #5-#23

The theory and techniques on how images are processed and accessed during

texture mapping is essential.

Lecture 5: Display Technologies

Everything is relevant

You must understand the technical working principles of the various display

technologies rather than knowing display specific technical figures.

Specifically you must see the various types of stereo image pair separation and

how they can be accomplished using various display technologies.

Kalawsky: pages 50-59, 98-107

Lecture 6: Interaction technologies

Only slides 1-48 relevant for examination

The article of Foxlin: Section 7.2 (Human factors of motion tracking) pages 5-12

Lecture 7: Collision Detection

Will not be part of the exam!

Lecture 8: Networked VR

Slides #6-#29

To know the problems and how to solve them when communicating a shared

position and state of objects.

Lecture 9: Guest lecture and shadow rendering

Will not be part of the exam!