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Lecture: Perception for Computer Graphics (Myszkowski/Didyk)

Perception for Computer Graphics (Lecture, Winter Semester 2015/2016)

Specialized Lecture for Computer Graphics/Visual Computing

Karol Myszkowski     Piotr Didyk


As computer graphics is producing images and videos that are ultimately perceived by a human, it's mandatory to account for how the human visual system (HVS) is processing this information. The HVS is complex, exhibiting many non-linearities as well as feedback and is only partially understood. While this poses a challenge, it can also be seen as an opportunity which can be exploited in image compression, watermarking, denoising, enhancement, upsampling, etc. Computational models which can predict the human response to the distortion of visual content are important when this opportunity is taken. To this end, our course covers the basic theory of perception research, including

and the practical applications in computer graphics, including

The target audience are students in computer science or related fields. This course covers topics from psychology and physiology that are relevant to computer graphics, and novel perception research and applications in computer graphics and vision. The objective is to transfer knowledge, experience and competencies that are required for doing research in perceptual computer graphics, and that are useful in many related fields, such as experimental psychology, or usability studies in human-computer interaction.

Prerequisites: computer graphics and image processing, and the related math.
Language: English.
Evaluation: oral final exam on t.b.a

Time: Monday, 10:00-12:00
First lecture: Monday, 26. 10. 2015
Room: Building E1 4 (Max-Planck-Institut), Room 019
HISPOS: Course No. 89849


Lecture 1: Introduction, Course Overview (26.10.2015)

Lecture 2: What is Perception? (02.11.2015)

Lecture 3: Designing Experiments, Part 1 (09.11.2015)

Lecture 4: Designing Experiments, Part 2 (16.11.2015)

Lecture 5: Analysis and Statistics, (23.11.2015)

Lecture 6: The Eye: Optics, Spatial Acuity and Temporal Integration (30.11.2015)

Lecture 7: Luminance, Contrast and Lightness (07.12.2015)

Lecture 8: Color (14.12.2015)

-- Winter Break --

Lecture 9: Tone Mapping (11.01.201)5

Lecture 10: Image Quality Evaluation (18.01.2016)

Lecture 11: Depth and Shape Perception (25.01.2016)

Lecture 12: Stereo 3D (01.02.2016)

Lecture 13: Materials (08.02.2016)

Course resources: Slides will be available after each lecture. Email Petr Kellnhofer for the password. No password required if you're on the campus network.

The following list contains the most relevant books for this lecture:

Further literature will be announced during the course.

Oral exam: 24th February

Re-exam: 23rd March, 17:30 MPI Building, 2nd floor, Rotunda
(in case you did not get an email with the exam-slot allocation please contact Karol Myszkowski)

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