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Face detection based on multi-scale enhanced local texture feature sets

Zhe Wei, Yuan Dong, Feng Zhao, Hongliang Bai
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This paper presents a distinctive rectangle feature Multi-Scale Local Ternary Patterns (MS-LTP) for face detection.  ...  Our experimental results on the CMU-MIT frontal face test set show that the MS-LTP outperforms Haar, Local Binary Patterns (LBP) under noisy conditions and the MS-LTP based face detector works more rapidly  ...  The sparse features in granular based on heuristic search was presented in [9] for multi-view face detection. The second improvement is the development of learning algorithms.  ... 
doi:10.1109/icassp.2012.6288043 dblp:conf/icassp/WeiDZB12 fatcat:7ne2x7h32rczdao3kyy5pwlbja

Face spoofing detection from single images using micro-texture analysis

Jukka Maatta, Abdenour Hadid, Matti Pietikainen
2011 2011 International Joint Conference on Biometrics (IJCB)  
The proposed approach analyzes the texture of the facial images using multi-scale local binary patterns (LBP).  ...  Hence, we present a novel approach based on analyzing facial image textures for detecting whether there is a live person in front of the camera or a face print.  ...  Our proposed approach used multi-scale local binary patterns (LBP) to encode the micro-texture patterns into an enhanced feature histogram.  ... 
doi:10.1109/ijcb.2011.6117510 dblp:conf/icb/MaattaHP11 fatcat:2kse3dlpozddddblhzfzcfocne

Multi-attentional Deepfake Detection [article]

Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu
2021 arXiv   pre-print
Specifically, it consists of three key components: 1) multiple spatial attention heads to make the network attend to different local parts; 2) textural feature enhancement block to zoom in the subtle artifacts  ...  in shallow features; 3) aggregate the low-level textural feature and high-level semantic features guided by the attention maps.  ...  Textural Feature Enhancement.  ... 
arXiv:2103.02406v3 fatcat:syk6womid5hhtl4c4udwwskpny

Texture Features in Facial Image Analysis [chapter]

Matti Pietikäinen, Abdenour Hadid
2005 Lecture Notes in Computer Science  
Texture-based region descriptors can be very useful in recognizing faces and facial expressions, detecting faces and different facial components, and in other face related tasks.  ...  This paper demonstrates this issue by considering the local binary pattern (LBP) as an example of texture-based approach and showing its efficiency in facial image analysis. ⋆ The financial support of  ...  The Local Binary Pattern Approach to Texture Analysis The LBP texture analysis operator is defined as a gray-scale invariant texture measure, derived from a general definition of texture in a local neighborhood  ... 
doi:10.1007/11569947_1 fatcat:5jkvvmomufepfdzrzdhfwkurri

Texture-based Feature using Multi-blocks Gray Level Co-occurrence Matrix for Ethnicity Identification

M Z Osman, M A Maarof, M F Rohani
2020 IOP Conference Series: Materials Science and Engineering  
The proposed model involved several phases such as face detection, feature selection, and classification. The detected face then exploited by three proposed face block which are 1×1, 1×2 and 2×2.  ...  Thus, this paper purposely analyses the accuracy of the texture-based ethnicity identification model from facial components under four-class ethnics.  ...  Example of blocks can be found in Figure 1 showing the flowchart of extracting texture feature. The detected face region was transformed into grayscale with fix scale for all detected faces.  ... 
doi:10.1088/1757-899x/769/1/012032 fatcat:jdfywl5vybbddltcuhhsrkys5a

MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion

Lei Zhao, Mingcheng Zhang, Hongwei Ding, Xiaohui Cui
2021 Entropy  
Recently, many deepfake detection methods based on forged features have been proposed. Among the popular forged features, textural features are widely used.  ...  texture enhancement module to zoom into the subtle textural features in shallow layers; (3) an attention module to force the classifier to focus on the forged part; (4) two instances of feature fusion  ...  At present, most advanced detection methods are based on RGB images.  ... 
doi:10.3390/e23121692 pmid:34945998 pmcid:PMC8700337 fatcat:5iiz3wt3r5hy3bajmiisbq4bk4

Frequency based edge-texture feature using Otsu's based enhanced local ternary pattern technique for digital image splicing detection

Vikas Srivastava, Sanjay Kumar Yadav
2021 Bulletin of Electrical Engineering and Informatics  
Canny edge detection technique is implemented to detect the edge of the image to implement Otsu's based enhanced local ternary pattern (OELTP), which can detect forgery-related artifact.  ...  The performance of the work evaluated on three different open available data sets CASIA v1, CASIA v2, and Columbia.  ...  These figures are; (a) frequency representation of DWT, (b) multi-level DWT effect on image Bulletin of Electr Eng & Inf ISSN: 2302-9285  Frequency based edge-texture feature using Otsu's based enhanced  ... 
doi:10.11591/eei.v10i6.3188 fatcat:b3nutqrh4bahrfref5glmw6ez4

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
These two-number sets start with 00, 01, 02, 03,  ...  The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee.  ...  expression recognition based on geometric and texture features [10615-99] 10615 0U The depth estimation of 3D face from single 2D picture based on manifold learning constraints [10615-71] 10615  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna

Local Binary Patterns and Its Variants for Finger Knuckle Print Recognition in Multi-Resolution Domain

D. R. Arun, C. Christopher Columbus, K. Meena
2016 Circuits and Systems  
In this paper, Local Directional Pattern (LDP), Local Derivative Ternary Pattern (LDTP) and Local Texture Description Framework based Modified Local Directional Pattern (LTDF_MLDN) based feature extraction  ...  Recently, many texture patterns are proposed for biometric feature extraction. Hence, it is essential to review whether Local Binary Patterns or its variants perform well for FKP recognition.  ...  Morales proposed FKP authentication based on Scale Invariant Feature Transform (SIFT) algorithm [6] .  ... 
doi:10.4236/cs.2016.710267 fatcat:ycex4yjovrf2xazdhibmnfawby

Recent trends in image processing and pattern recognition

K. C. Santosh, Sameer K. Antani
2020 Multimedia tools and applications  
In "Image Fuzzy Enhancement Algorithm based on Contourlet Transform Domain," authors focused on enhancing globally the texture and edge of the image.  ...  In "Super Resolution of Single Depth Image based on Multi-dictionary Learning with Edge Feature Regularization," authors focused on super resolution based on multi-dictionary learning with edge regularization  ... 
doi:10.1007/s11042-020-10093-3 fatcat:z2wzbhk4qbd3vpsyuzm4pdlque

Facial Beauty Prediction via Local Feature Fusion and Broad Learning System

Yikui Zhai, Cuilin Yu, Chuanbo Qin, Wenlue Zhou, Qirui Ke, Junying Gan, Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti
2020 IEEE Access  
Above all, different local texture feature methods are employed to extract features of face images.  ...  Facial Image Pre-processing Facial detection and key point detection are both performed on the face images.  ... 
doi:10.1109/access.2020.3032515 fatcat:4yyx4tiapbd6vpqdlwmtycwley

Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences

Óscar García-Olalla, Laura Fernández-Robles, Enrique Alegre, Manuel Castejón-Limas, Eduardo Fidalgo
2019 Sensors  
This paper presents a new texture descriptor booster, Complete Local Oriented Statistical Information Booster (CLOSIB), based on statistical information of the image.  ...  H-CLOSIB may eliminate redundant statistical information and the multi-scale version, M-CLOSIB, is more robust.  ...  Furthermore, we propose and discuss three new variants of CLOSIB based on multi-scale and feature selection: Half CLOSIB (H-CLOSIB), Multi-scale CLOSIB (M-CLOSIB) and Half Multi-scale CLOSIB (HM-CLOSIB  ... 
doi:10.3390/s19051048 fatcat:drjtfrtjdjfy5hpd7dswgnholm

Robust Face Detection Using Circular Multi Block Local Binary Pattern and Integral Haar Features

P K, Amit Verma
2011 International Journal of Advanced Computer Science and Applications  
in the domain of face detection.  ...  In the current work we have implemented a robust face detector which uses the new concept called integral Haar histograms with CMBLBP or CSMBLBP (circular multi block local binary operator).Our detector  ...  In recent years, there has been a vital progress on detection schemes [10] [11] based on appearance of faces.  ... 
doi:10.14569/specialissue.2011.010311 fatcat:35p5qiljmfctxalsahzoeceddy

Pattern Recognition of Surgically Altered Face Images Using MultiObjective Evolutionary Algorithm

Leena Patil
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
The algorithms starts with generating nondisjoint face granules and two feature extractors EUCLBP (Extended Uniform Circular Local Binary Pattern) and SIFT (Scale Invariant Feature Transform), are used  ...  The multi-objective evolutionary algorithm is a novel approach for pattern recognition of surgically altered face images.  ...  ACKNOWLEDGMENT This material is based on work supported by Miss Utkarsha Narkhede, HOD of computer department Dr.Prof.G.K.Patnaik from SSBT COET, Jalgaon.  ... 
doi:10.17762/ijritcc2321-8169.1503162 fatcat:4xgmqrtx6fbm3dc2jpmraskt2e

Face Recognition Based on Statistical Texture Features

Lama Akram Ibrahim, Nasser Nasser, Majd Ali
2021 Embedded Selforganising Systems  
Improvements are achieved by adding the image pre-processing and selecting the proper method according to the database problem and by extracting features from image local regions.  ...  The focus of this paper is on extracting subset of descriptors (less correlated and less calculations) from the co-occurrence matrix with the goal of enhancing the performance of Haralick's descriptors  ...  [3] presented a new and effective representation of face image based on the texture features Local Binary Pattern( LBP), which extracted locally from the image regions because they are more resistant  ... 
doi:10.14464/ess.v7i1.471 fatcat:ja242wnponerddz5b55mcm7ixe
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