Computational Visual Perception (CompVP)7.5 ECTS
(englische Bezeichnung: Computational Visual Perception)
(Prüfungsordnungsmodul: Computational Visual Perception)

Lehrveranstaltungen:

• • Computational Visual Perception
    (Vorlesung, 4 SWS, Bernhard Egger et al., Mo, Do, 10:15 - 11:45, 00.152-113)
  • Tutorials to Computational Visual Perception
    (Projektseminar, 2 SWS, Bernhard Egger et al., Do, 12:15 - 13:45, 01.151-128)

Inhalt:

How do humans perceive the visual world? How can we build computational models to mimic this human perception? And how can we validate those computational models? This course is designed as an introduction to enable you to build computational models for human visual perception. It will therefore provide an introduction into the human visual system building on the course on cognitive neuroscience for AI developers. You will learn how the human eye and brain process visual input and what we currently know about the ventral visual stream. We will look at computational models for all different levels of visual processing and discuss how well they measure behavioral data. This lecture is designed to be at the intersection of Computer Science (Computer Vision and Graphics) and Cognitive Neuroscience.
After an initial introductory phase, you will in small teams (2-3 students) perform small projects to build prototypes for computational models for visual processing, reproduce recent scientific results or experiment with existing models. In parallel with the project phase we will read and discuss recent research papers studying potential computational models and investigate how we can evaluate computational models.
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Lernziele und Kompetenzen:

By the end of this course, students will be able to…

• Describe the basic processing steps of visual input in the human brain● Build a computational model for a known processing step

• Read a recent paper in the discipline and design a follow-up experiment

• Choose/design and conduct a small research project

• Choose adequate methods to evaluate a computational model

• Work in and manage projects
  

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Artificial Intelligence (Master of Science)
   (Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Wahlpflichtmodulbereich | AI Systems and Applications | Computational Visual Perception)

Studien-/Prüfungsleistungen:

Computational Visual Perception (Prüfungsnummer: 31731)

Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet, 5 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

weitere Erläuterungen:
The oral exam will include questions on lectures, exercise and class projects.

Prüfungssprache: Deutsch und Englisch

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023

1. Prüfer:

Bernhard Egger

Computational Visual Perception (Prüfungsnummer: 31732)

Studienleistung, Übungsleistung, unbenotet, 2.5 ECTS

weitere Erläuterungen:
Exercises: read and present one paper in class

Prüfungssprache: Deutsch und Englisch

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023

1. Prüfer:

Bernhard Egger