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A novel efficient local illumination compensation method based on DCT in logarithm domain
- Source :
- Pattern Recognition Letters. 33:1725-1733
- Publication Year :
- 2012
- Publisher :
- Elsevier BV, 2012.
-
Abstract
- In this paper, a novel illumination compensation method for face recognition under illumination variations is proposed. Rather than performing illumination compensation in a global way, the proposed method uses low-frequency discrete cosine transform (DCT) coefficients in the logarithm domain to estimate illumination in local areas. To estimate the illumination of every point more precisely, a mean operator is applied to refine the estimation. Experimental results on the CMU PIE database, the Yale Face database B and the Extended Yale Face database B demonstrate that the method is superior in comparison with other existing methods. Furthermore, a simplified version of the method is also proposed. Both theoretical analysis and experimental results demonstrate the validity and high computational efficiency of the simplified version. Performances of the proposed methods under different values of parameters are also discussed in the paper.
- Subjects :
- Logarithm
Computer science
business.industry
Facial recognition system
Compensation (engineering)
Domain (software engineering)
Operator (computer programming)
Artificial Intelligence
Computer Science::Computer Vision and Pattern Recognition
Face (geometry)
Engineering::Electrical and electronic engineering [DRNTU]
Signal Processing
Discrete cosine transform
Point (geometry)
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
business
Algorithm
Software
Subjects
Details
- ISSN :
- 01678655
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition Letters
- Accession number :
- edsair.doi.dedup.....49f236820826009c27dcea5394950d1f