Color Tracking and Balancing for Augmented Reality

Project Members

Alexander Sorkine-Hornung (Disney Research Zurich)
Henning Zimmer (Disney Research Zurich)
Peter Kaufmann (Disney Research Zurich)
Bob Sumner (Disney Research Zurich)


The colors that are ultimately recorded by both consumer-grade and high-end digital cameras depend on a plethora of factors and are influenced by complex hardware and software processing algorithms, making the precise color quality of captured images difficult to predict and control. As a result, post-processing algorithms are required to fix color-related issues. This problem is generally known as color balancing or color grading, and plays a central role in all areas involving capturing, processing and displaying image data. In this project, we investigate various real-time color balancing algorithms that are able to globally adapt the colors of a source image or video to match a desired target look.

This software is available as a Nuke plugin and as standalone software


Fast and Stable Color Balancing for Images and Augmented Reality-Thumbnail

Fast and Stable Color Balancing for Images and Augmented Reality
October 13, 2012
3D International Conference on 3D Vision (3DV) 2012
Paper File [pdf, 4.67 MB]

Copyright Notice

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.