Alleviate the Effect of Illumination Variation in ICA Subspace

摘要：

Illumination variation brings in significant difficulties to pattern recognition and consequent robot operations. In this paper an illumination factor for real-world images taken under a wide variety of lighting conditions in ICA subspace was extracted. After normalizing with the combination coefficient of the illumination factors, all the images that originated from the same object but with different illumination intensities were easily classified.

关键词： ICA PCA residual space illumination factor

作者: Zhen Zheng Lei Wang Jia Gu Sheng-Jiang Chang

作者单位: Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced technology Shenzhen,P. Institute of Modern Optics Nankai University Tianjin,P.R.China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）