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Processing Digital Camera Images (SS 12)

0433 L 360
Instructor:
Prof. Dr. Marc Alexa, Prof. Dr. Bernd Bickel
Contact
Topics/Schedule:
Administration:

Course structure:
Seminar - 2 SWS
Room:
E-N 719
Date:
Tuesday 4pm - 6pm  
Start: 10 April 2012
End: 10 July 2012
Description:
Images taken with a digital camera can be processed and manipulated to create novel imagery unachievable with a single shot. In this course we will computationally create novel imagery by combining a large number of existing images, coming either from multiple shots of the same scene taken with varying camera parameters or from existing large image databases (e.g. Flickr).
Requirements:
Interest in visual arts/photography as well as programming skills (Matlab/C++). It is strongly recommended that students have already taken introductory Computer Graphics or Computer Vision courses.
 
Details:
The course gives a brief overview of the basic ideas and several recent developments in the field of Computational Photography as well as Data-Driven Vision and Graphics. Students will work in small teams on a chosen topic and present the basics of their topic in an intermediate talk. Finally, each team will implement a recent research paper and present their topic, application and results in a concluding talk. Both efficiency of the underlying algorithms as well as visual quality of the resulting imagery are important aspects in this course. Grading will be based on all aspects of performance.
Registration:
Please register for the course until April 10th by sending an eMail mentioning the course title (PDCI), course of studies (e.g. Informatik), your name and your student id (Matrikelnummer) to .

Schedule
Date 
Topic
10 Apr
Overview
17 Apr
Topics, forming teams

Sample projects from previous courses

Automatic colorization of a greyscale image (left) using statistics learned from a large image database. The colorized result is shown on the right.
Lupe
Interactive Digital Photomontage: automatically combining a set of macro photographs yields an image that is sharp everywhere.
Lupe

Samples of what students implemented in previous classes:

WS 11/12:

SS 11:

WS 10/11:

WS 09/10:

WS 08/09:

WS 07/08:


List of previous related courses:

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