UCY Computer Graphics Lab

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 Illumination Neutralization With Application in Tracking



The main scientific objective of the project is to introduce computer graphics techniques into solving a specific computer vision problem. It will make use of the latest advancements in capturing technology and in graphics illumination algorithms to produce a novel illumination neutralization technique. Objects shall emerge in appearance that is independent from the lighting conditions of the scene. The process shall be optimized in terms of timing constraints to permit its utilization in real-time systems. The system shall be robust eliminating the difficulties imposed by illumination variations.

The method to be produced can be exploited in different types of applications that employ tracking of moving objects. In such systems, the tracking procedure may fail in circumstances during which lighting conditions exhibit a rapid modification or variation. This often results in failure of the object tracking procedure, as the data information used for tracking is highly correlated to the instant lighting conditions during the initial object registration. The proposed system shall set the appearance of scene elements remain unaffected from occasional different lighting conditions, removing the ambiguity that light variations cause to the success of the tracking mechanism.





GlobFit: Consistently Fitting Primitives by Discovering Global Relations

Yangyan Li, Xiaokun Wu, Yiorgos Chrysanthou, Andrei Sharf, Daniel Cohen-Or, Niloy J. Mitra 



Contact us

University of Cyprus:Yiorgos Chrysanthou(yiorgos cs.ucy.ac.cy), Nikolas Ladas(nladas cs.ucy.ac.cy)

SIAT: Baoquan Chen (bq.chen sub.siat.ac.cn)

Cyprus University of Technology: Andreas Lanitis(andreas.lanitis cut.ac.cy)