Face Description with Local Binary Patterns: Application to Face Recognition
University of Oulu · Oulu University of Applied Sciences
Indexed incrossrefpubmed
Abstract
This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed.
Citation impact
5,599
total citations
- FWCI
- 60.70
- Percentile
- 100%
- References
- 34
Citations per year
Authors
3- TAT. AhonenCorresponding
University of Oulu
- AHAbdenour Hadid
Oulu University of Applied Sciences, University of Oulu
- MPMatti Pietikäinen
Oulu University of Applied Sciences, University of Oulu
Topics & keywords
Topics
Keywords
- Local binary patterns
- Artificial intelligence
- Pattern recognition (psychology)
- Facial recognition system
- Computer science
- Face (sociological concept)
- Feature (linguistics)
- Computer vision
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