Pairwise Macropixel Comparison Can Work at Least as Well as Advanced Holistic Algorithms for Face Recognition

It is well known that, due to illumination effects and the registration/alignment problem, it does not make sense to compare the "values" of two single-pixels for face recognition. But does that mean that the comparison of two "big" pixels makes no sense either? This paper shows that, by taking a few pixels together as one "big" pixel, called macropixel, and measuring the similarity of macropixels by simple Euclidean distance, a method that counts best matched macropixels indeed works very well for face recognition

• Type: Journal
• Year: 2010
• Where: BMVC
• Authors: Liang Chen
• Keywords: BMVC 2010, Computer Vision, Face Pattern Recognition, Face Recognition, Pixel