Generalized Image Acquisition and Analysis

State of the Art in Computational Plenoptic Imaging

The plenoptic function is a ray-based model for light that includes the color spectrum as well as spatial, temporal, and directional variation. Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they convert photons into electrons; in the process, all visual information is irreversibly lost, except for a two-dimensional, spatially-varying subset - the common photograph. In this state of the art report, we review approaches that optically encode the dimensions of the plenpotic function transcending those captured by traditional photography and reconstruct the recorded information computationally.


Computational Optical Imaging

Lecture in winter term 2014/15

Lecturer: Ivo Ihrke

General Information

Course webpage - Libres Savoirs

When: 2014, Sept. 08th to 2014, Oct. 8th
Where: IOA/IOGS buiding room E202
Registration for mailing list: send email to Ivo Ihrke (firstname[dot]lastname[at]


This lecture covers advanced digital imaging techniques for image correction and calibration, as well as algorithms and optical considerations for the extraction of three-dimensional content from (sets of) images. We explore the notion of computional-optical codesign and modern high-dimensional imaging techniques.

The tentative course schedule is

Monday 08.09.2014 Introduction and Recapitulation of Image Characteristics [pdf intro & recap]
Wednesday 10.09.2014 High Dynamic Range, Spectral, and Polarization Imaging [pdf hdr/spectral/polarization]
Monday 15.09.2013 Deconvolution [pdf deconvolution]
Wednesday 17.09.2013 Perspective Imaging and the Basics of 3D
Monday 22.09.2013 Structure-from-Motion
Wednesday 24.09.2013 Dense Stereo Techniques and Optical Flow
Monday 29.09.2013 Active 3D Scanning
Wednesday 01.10.2013 Tomography and Volumetric 3D
Monday 06.10.2013 Light Fields
Wednesday 08.10.2014 to be determined - possibly Compressed Sensing


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