Generalized Image Acquisition and Analysis

Property and Lighting Manipulations for Static Volume Stylization Using a Painting Metaphor

Although volumetric phenomena are important for realistic rendering and can even be a crucial component in the image, the artistic control of the volume’s appearance is challenging. Appropriate tools to edit volume properties are missing, which can make it necessary to use simulation results directly. Alternatively, high-level modifications that are rarely intuitive, e.g., the tweaking of noise function parameters, can be utilized. Our work introduces a solution to stylize single-scattering volumetric effects in static volumes. Hereby, an artistic and intuitive control of emission, scattering and extinction becomes possible, while ensuring a smooth and coherent appearance when changing the viewpoint. Our method is based on tomographic reconstruction, which we link to the volumetric rendering equation. It analyzes a number of target views provided by the artist and adapts the volume properties to match the appearance for the given perspectives. Additionally, we describe how we can optimize for the environmental lighting to match a desired scene appearance, while keeping volume properties constant. Finally, both techniques can be combined. We demonstrate several use cases of our approach and illustrate its effectiveness.


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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