Generalized Image Acquisition and Analysis

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.

Teaching

Computational Optical Imaging

Lecture in winter term 2013/14

Lecturer: Ivo Ihrke

General Information

Course webpage - Libres Savoirs -->

When: 2013, Sept. 09th to 2013, Oct. 28th
Where: IOA/IOGS buiding room F102
Registration for mailing list: send email to Ivo Ihrke (firstname[dot]lastname[at]inria.fr)

Overview:

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


Tuesday 10.09.2013 Introduction and Sensor Technology [pdf intro] [pdf sensors]
Thursday 12.09.2013 Noise, Dynamic Range, and Color [pdf noise/dr/color]
Monday 16.09.2013 Imaging Imperfections, Panoramas and the Basics of 3D [pdf panoramas&3D]
Monday 23.09.2013 Camera Calibration and Feature Detection [pdf calibration&features]
Monday 30.09.2013 Stereo and Self-Calibration [pdf stereo&self-calibration]
Thursday 03.10.2013 Active 3D Scanning [pdf active light 3D]
Monday 07.10.2013 Tomography [pdf tomography]
Monday 14.10.2013 Deconvolution [pdf deconvolution]
Monday 21.10.2013 Light Fields [pdf light fields]
Thursday 24.10.2013 Introduction to Variational Image Processing (original slides by Bastian Goldluecke) [pdf intro] [pdf variational analysis] [pdf gradient descent]

FAQ:


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