Generalized Image Acquisition and Analysis

Acquisition and Analysis of Bispectral Bidirectional Reflectance and Reradiation Distribution Functions

In fluorescent materials, light from a certain band of incident wavelengths is reradiated at longer wavelengths, i.e., with a reduced per-photon energy. While fluorescent materials are common in everyday life, they have received little attention in computer graphics. Especially, no bidirectional reradiation measurements of fluorescent materials have been available so far. In this paper, we extend the well-known concept of the bidirectional reflectance distribution function (BRDF) to account for energy transfer between wavelengths, resulting in a Bispectral Bidirectional Reflectance and Reradiation Distribution Function (bispectral BRRDF). Using a bidirectional and bispectral measurement setup, we acquire reflectance and reradiation data of a variety of fluorescent materials, including vehicle paints, paper and fabric, and compare their renderings with RGB, RGB×RGB, and spectral BRDFs. Our acquisition is guided by a principal component analysis on complete bispectral data taken under a sparse set of angles. We show that in order to faithfully reproduce the full bispectral information for all other angles, only a very small number of wavelength pairs needs to be measured at a high angular resolution.


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]


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]


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