Publication Details
Overview
 
 
Xiaoyue Jiang, Xiaoyue Jiang, Ping Fan, Ping Fan, Ilse Ravyse, Ilse Ravyse, Hichem Sahli, Hichem Sahli, J Huang, J Huang, Rongchun Zhao, Rongchun Zhao, Yanning Zhang, Yanning Zhang, Hongbin Zha, Hongbin Zha, Rin-ichiro Taniguchi, Rin-ichiro Taniguchi, Stephen Maybank, Stephen Maybank
 

Chapter in Book/ Report/ Conference proceeding

Abstract ■

In this paper, we propose a 2-step algorithm to reduce the lighting influences between frames in an image sequence. First, the lighting parameters of a perceptual lighting model are initialized using an entropy measure. Then the difference between two successive frames is used as a cost function for further optimization the above lighting parameters. By applying the proposed lighting model optimization on an image sequence, the neighboring frames become similar in brightness and contrast while features are enhanced. The effectiveness of the proposed approach is illustrated on the detection and tracking of facial features.

Reference ■