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Processing Digital Camera Images

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Processing Digital Camera Images (WS09/10)

0433 L 370
Prof. Dr. Marc Alexa

Course structure:
Seminar - 2 SWS
E-N 719

Tuesday   4pm  -  6pm  
Start: 13 Oct 2009
End: 10 Feb 2010
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). 
Additionally, we will explore state of the art methods for visualizing the results using natural user interfaces, e.g. multi-touch surfaces.
Interest in visual arts/photography, programming skills, ideally access to a digital camera (although this could be arranged for a limited number of participants).
The course gives a brief overview of the basic ideas and several recent developments in this field. 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.
Please register for the course until October 13th by sending an eMail mentioning the course title, your name and student id to .

Final project reports

Automatic colorization of a greyscale image (left) using statistics learned from a large image database. The colorized result is shown on the right.

This semester, we had several great projects with amazing result -- see the final project report websites: 


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Sample projects from previous courses

Generating an image with optimal depth of field from a series of images.

Some samples of what students in previous classes implemented:

WS 08/09:

WS 07/08:

List of previous related courses:




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