Results 181 to 190 of about 22,711 (241)
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Neurocomputing, 2013
Abstract The spatially e nhanced l ocal b inary p attern (LBP) h istogram (eLBPH) methodology has attained an established position in the field of face recognition (FR) and derived many face analysis approaches. Their implementations follow a similar procedure: first divide a full facial image into some regions (subimages) and individually ...
Bo Yang, Songcan Chen
exaly +2 more sources
Abstract The spatially e nhanced l ocal b inary p attern (LBP) h istogram (eLBPH) methodology has attained an established position in the field of face recognition (FR) and derived many face analysis approaches. Their implementations follow a similar procedure: first divide a full facial image into some regions (subimages) and individually ...
Bo Yang, Songcan Chen
exaly +2 more sources
Weighty LBP: A New Selection Strategy of LBP Codes Depending on Their Information Content
, 2017 This paper presents a novel variation of the use of LBP codes. Similarly to Uniform LBP and Local Salient Patterns (LSP), it aims at both obtaining an effective texture description, and decreasing the length of the feature vectors, i.e., of the chains of LBP histograms.
De Marsico, Maria, Riccio, Daniel
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LBP vs. LBP Variance for Texture Classification
2017Texture classification algorithms are utilised in various image analysis and medical imaging applications. A number of high performing texture algorithms are based on the concept of local binary patterns (LBP) characterising the relationships of pixels to their local neighbourhood.
Gerald Schaefer, Niraj P. Doshi
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Spoke-LBP and ring-LBP: New texture features for tissue classification
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015This paper proposes a texture feature which is applied on human breast Optical Coherence Microscopy (OCM) images to classify different types of breast tissues. Inspired by local binary pattern (LBP) texture features, a new variant of LBP feature, block based LBP (BLBP) is proposed.
Sunhua Wan +4 more
openaire +1 more source
13th IEEE International Conference on BioInformatics and BioEngineering, 2013
The ear, as a biometric, has been given less attention, compared to other biometrics such as fingerprint, face and iris. Since it is a relatively new biometric, no commercial applications involving ear recognition are available. Intensive research in this field is thus required to determine the feasibility of this biometric.
Nazmeen Boodoo-Jahangeer +1 more
openaire +1 more source
The ear, as a biometric, has been given less attention, compared to other biometrics such as fingerprint, face and iris. Since it is a relatively new biometric, no commercial applications involving ear recognition are available. Intensive research in this field is thus required to determine the feasibility of this biometric.
Nazmeen Boodoo-Jahangeer +1 more
openaire +1 more source