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.
Keywords
Local binary patternsArtificial intelligencePattern recognition (psychology)Facial recognition systemComputer scienceFace (sociological concept)Feature (linguistics)Computer visionFeature extractionThree-dimensional face recognitionImage (mathematics)Representation (politics)Image textureFeature vectorBinary numberFace detectionHistogramImage processingMathematics
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Publication Info
- Year
- 2006
- Type
- article
- Volume
- 28
- Issue
- 12
- Pages
- 2037-2041
- Citations
- 5546
- Access
- Closed
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Cite This
Timo Ahonen,
Abdenour Hadid,
Matti Pietikäinen
(2006).
Face Description with Local Binary Patterns: Application to Face Recognition.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 28
(12)
, 2037-2041.
https://doi.org/10.1109/tpami.2006.244
Identifiers
- DOI
- 10.1109/tpami.2006.244