Vorlesung: Computational Photography

Veranstaltung
- Dozent(en):
- Beginn: April 18, 2016
- Zeiten: Montags 14:15 s.t., LBH - Hörsaal III.03. Achtung: Erster Termin beginnt um 14:30.
- Veranstaltungsnummer: MA-INF 2214
- Studiengang: Master
Übung
- Betreuer:
- Beginn: tbd
- Zeiten: tbd
Beschreibung
We've set up a mailing list for scheduling the course and general communication. If you are interested in attending this course, Although the digital photography industry is expanding rapidly, most digital cameras still look and feel like film cameras, and they offer roughly the same set of features and controls. However, as sensors and in-camera processing systems improve, cameras and mobile devices are beginning to offer capabilities that film cameras never had. Among these are the ability to refocus photographs after they are taken (see the example above), or to combine views taken with different camera settings, aim, or placement. Equally exciting are new technologies for creating efficient, controllable illumination. Future "flashbulbs" may be pulsed LEDs or video projectors, with the ability to selectively illuminate objects, recolor the scene, or extract shape information. These developments force us to relax our notion of what constitutes "a photograph." They also blur the distinction between photography and scene modeling. These changes will lead to new photographic techniques, new scientific tools, and possibly new art forms. In this course, we will survey the converging technologies of digital photography, computational imaging, and image-based rendering, and we will explore the new imaging modalities that they enable. This is an advanced course for students with background in computer graphics or computer vision. The content is reflecting our conviction that successful researchers in this area must understand both the algorithms and the underlying technologies. The lectures may be accompanied by readings from textbooks or the research literature. These readings will be handed out in class or placed on the course web site. Students are expected to: A written or oral exam will conclude the course.Mailing list
please subscribe to the CompPhot list as soon as possible, so you will receive the latest updates.
About the course
Requirements
Tentative schedule
Date Topic 1 Mon, April 18 Introduction 2 Mon, April 25 Sensors 3 Mon, May 2 Optics 4 Mon, May 9 Signal processing basics 5 Mon, May 16 No lecture (holiday) 6 Mon, May 23 Inverse problems: deconvolution+tomography 7 Mon, May 30 Light fields 8 Mon, June 6 Reflectance fields and materials 9 Mon, June 13 Light fields 10 Mon, June 20 Computational illumination and display 11 Mon, June 27 Graphics-based vision 12 Mon, July 4 Computational transient imaging 13 Mon, July 11 Research update 14 Mon, July 18 Project presentations
Folien
- Exercises (ZIP-Archiv, 41 MB)
- ProjectProposals (PDF-Dokument, 0.9 MB)
- Introduction (PDF-Dokument, 4.1 MB)
- Sensors (PDF-Dokument, 3.8 MB)
- Optics (PDF-Dokument, 6.6 MB)
- Panoramas (PDF-Dokument, 3.2 MB)
- InverseProblems (PDF-Dokument, 1.2 MB)
- CompressedSensing (PDF-Dokument, 2.1 MB)
- ColorSpectralHDR (PDF-Dokument, 3.1 MB)
- Lightfields (PDF-Dokument, 3.9 MB)
- ReflectanceFields (PDF-Dokument, 3.1 MB)
- ComputationalIllumination (PDF-Dokument, 5.0 MB)
- ComputationalDisplay (PDF-Dokument, 3.7 MB)