Computational Photography and Capture (CPaC)5 ECTS
(englische Bezeichnung: Computational Photography and Capture)
(Prüfungsordnungsmodul: Computational Photography and Capture)

Lehrveranstaltungen:

• • Computational Photography and Capture
    (Vorlesung, 2 SWS, Tim Weyrich, Di, 12:15 - 13:45, 00.152-113)
  • Tutorials to Computational Photography and Capture
    (Übung, 2 SWS, Vanessa Klein et al., Do, 14:15 - 15:45, 01.153-113 CIP)

Empfohlene Voraussetzungen:

Es wird empfohlen, folgende Module zu absolvieren, bevor dieses Modul belegt wird:

Algorithmen und Datenstrukturen (WS 2021/2022)

Inhalt:

Never in human history have we been able to record so much of our environment in so little time with such high quality. Since the rise of smartphones, nearly everyone carries a powerful camera with them in their daily lives. This module introduces the theoretical and practical aspects of modern photography and capture algorithms: universal models of colour, computer-controlled cameras, lighting and shape capture.
The lecture covers the following topics:

• Cameras, sensors and colour

• Image processing (e.g., blending, warping)

• Radiometry

• Appearance acquisition

• Structured-light 3D acquisition

• Image-based and video-based rendering

Assessment: The grade results from the successful completion of a total of four exercises. These determine 20%, 20%, 30% and 30% of the final grade. In the exercises, practical problems from the field of computational photography and capture are to be solved independently by self-written programs. In addition to the programs, the generated results and a short written explanation of the most important parts of the program must be handed in.

Lernziele und Kompetenzen:

Students know

• ... the basic vocabulary of computational photography
  

Students understand

• ... principles of light transport in natural scenes

• ... principles of digital image formation

• ... how computational-photography algorithms can exploit knowledge of these principles to transcend the capabilities of traditional photography
  

Students apply

• ... image-processing algorithms to analyse and transform images

• ... acquisition algorithms to capture appearances and 3D scenes
  

Students develop

• ... their own software prototypes to capture and process digital images

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 Photography and Capture)

Studien-/Prüfungsleistungen:

Computational Photography and Capture (Prüfungsnummer: 33861)

Studienleistung, Übungsleistung, unbenotet, 5 ECTS

weitere Erläuterungen:
The grade results from the successful completion of a total of four exercises. These determine 20%, 20%, 30% and 30% of the final grade. In the exercises, practical problems from the field of computational photography and capture are to be solved independently by self-written programs. In addition to the programs, the generated results and a short written explanation of the most important parts of the program must be handed in.

Prüfungssprache: Englisch

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

1. Prüfer:

Tim Weyrich