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Gaussian Mixture Models for Human Face Recognition under Illumination Variations

Sinjini Mitra
2012 Applied Mathematics  
In this paper we propose a Gaussian Mixture Models (GMM)-based human face identification technique built in the Fourier or frequency domain that is robust to illumination changes and does not require "  ...  Apart from statistical applications, Gaussian Mixture Models (GMM), the most popular of the mixture a significant improvement over existing methods.  ...  Gaussian Mixture Models Based on Phase Because of their ability to capture heterogeneity in a cluster analysis context, finite mixture models provide a flexible approach to the statistical modeling of  ... 
doi:10.4236/am.2012.312a286 fatcat:ggvop7hmmrdkvpnj7w6dz5caea

Low-Cost Multispectral System Design for Pigment Analysis in Works of Art

Tania Kleynhans, David W. Messinger, Roger L. Easton, John K. Delaney
2021 Sensors  
By applying the system and noise modeling parameters to HSI data captured from a 14th-Century illumination, the study reveals that the proposed multispectral imaging system is a viable option for this  ...  We show that multispectral systems with a well-chosen set of spectral bands can often produce classification maps with value on par with hyperspectral systems.  ...  Acknowledgments: Thanks to the Getty and Nancy Turner for making the manuscript available for study. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21155138 fatcat:hgkzfbagpfdwfny6gjpcenyjbi

Artificial tactile perception for surface identification using a triple axis accelerometer probe

Patrick Dallaire, Daniel Emond, Philippe Giguere, Brahim Chaib-Draa
2011 2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)  
We also demonstrate that similar results can be achieved without the need for ground truth or the actual number of surfaces using Dirichlet process mixture models, a Bayesian nonparametric approach.  ...  In this paper, we explore the problem of artificial tactile perception, aimed at surface identification. To this end, we introduce a simple tactile probe based upon triple axis accelerometers.  ...  Surface classification was based on seven features extracted from the accelerometer's measurements, in the time and frequency domains.  ... 
doi:10.1109/rose.2011.6058547 dblp:conf/rose/DallaireEGC11 fatcat:lj3pn3axd5frjg5e655bucbetm

Automatic Detection and Monitoring of Insect Pests—A Review

Matheus Cardim Ferreira Lima, Maria Elisa Damascena de Almeida Leandro, Constantino Valero, Luis Carlos Pereira Coronel, Clara Oliva Gonçalves Bazzo
2020 Agriculture  
The paper focuses on the methods for identification of pests based in infrared sensors, audio sensors and image-based classification, presenting the different systems available, examples of applications  ...  The aim of the present paper is to review the techniques and scientific state of the art of the use of sensors for automatic detection and monitoring of insect pests.  ...  The authors acknowledge also the financial support for this project provided by transnational funding bodies, being partners of the "SureVeg" H2020 ERA-net project, CORE Organic Cofund, within the European  ... 
doi:10.3390/agriculture10050161 fatcat:jilapwwc5ncexnoj3u3nblcd3q


M. A. Chyad, H. A. Alsattar, B. B. Zaidan, A. A. Zaidan, Ghailan A. Al Shafeey
2019 IEEE Access  
and Classification techniques) as a future direction for other researchers who are interested in SD.  ...  This paper review and analysis the literature on skin detector (SD), in order to establish the coherent taxonomy and figure out the gap on this pivotal research area.  ...  In [34] used Gaussian mixture model in skin probability map for skin color segmentation.  ... 
doi:10.1109/access.2019.2924989 fatcat:viwgq5we4ra4va3pxa4q4hy3vm

Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR

Xinzheng Zhang, Zhouyong Liu, Shujun Liu, Guojun Li
2015 Journal of Electrical and Computer Engineering  
Finally, hidden Markov models (HMMs) are employed to characterize the time-frequency feature vectors corresponding to one target and are used to being the recognizer.  ...  And the time-frequency matrix for each of HRRPs is obtained by using AGR. Secondly, the time-frequency feature vectors are extracted from the time-frequency matrix utilizing NMF.  ...  Increasing the number of HMM states and Gaussian mixtures theoretically results in a complex model that is better able to model the target signature.  ... 
doi:10.1155/2015/478971 fatcat:okg6guuh5vgbvoqh4gwlbxgrsm

Audio-Visual Biometrics and Forgery [chapter]

Hanna Greige, Walid Karam
2011 Advanced Biometric Technologies  
The reader is referred back to sections 4.1.3 and 4.1.4 for a detailed treatment of identity classification and Gaussian mixture modeling.  ...  Since speaker modeling is based on a mixture of Gaussians, as described in the next section 4.1.4, H 0 can be represented by the GMM model of the speaker λ s , which symbolizes the mean vector and the  ...  Advanced Biometric Technologies The methods for human identity authentication based on biometrics â€" the physiological and behavioural characteristics of a person have been evolving continuously and seen  ... 
doi:10.5772/23642 fatcat:f4643ohlfbewrhjkg6guafumau

Discrete or indiscrete? Redefining the colour polymorphism of the land snail Cepaea nemoralis

Angus Davison, Hannah J. Jackson, Ellis W. Murphy, Tom Reader
2019 Heredity  
Nonetheless, clustering analysis based on the density of the distribution did reveal three groups, roughly corresponding to human-perceived yellow, pink and brown shells.  ...  We also found large-scale geographic variation in the frequency of these groups across Europe, and some covariance between shell colour and banding patterns.  ...  Acknowledgements This work was supported by the University of Nottingham, with a spectrophotometer purchased on the UoN equipment fund; and the Biotechnology and Biological Sciences Research Council [grant  ... 
doi:10.1038/s41437-019-0189-z pmid:30804571 pmcid:PMC6629550 fatcat:4yhk7qmtwrhblfpbrzcbcf3jx4

Chronological Advancement in Image Processing from Lime Stone Mofits to Superpixel Classification

Er. Sumit Kaur, R. K. Bansal
2015 Journal of Computer Science  
While extracting the information from the remote sensed images the major issues that affect the accuracy of the classification is the presence of mixed pixels (reflecting more than one spectral signature  ...  Image processing is widely used method for representation and extraction of information.  ...  The data present in this article is not published anywhere else. This article is approved by corresponding author that there is no ethical issue in it.  ... 
doi:10.3844/jcssp.2015.1060.1074 fatcat:c7wkodloe5hltpnaoxh2xkvbte

Addressing the illumination challenge in two-dimensional face recognition: a survey

Miguel A. Ochoa-Villegas, Juan A. Nolazco-Flores, Olivia Barron-Cano, Ioannis A. Kakadiaris
2015 IET Computer Vision  
Uncontrolled illumination is one of the most widely researched and most encountered face recognition challenges in recent years.  ...  Also, eight past state-of-the-art approaches are used in both identification and verification experiments.  ...  One example is the approach proposed by Mitra [82] , which utilises a Gaussian mixture models (GMMs)-based technique built by Fourier transform to extract shape and texture of face images.  ... 
doi:10.1049/iet-cvi.2014.0086 fatcat:i3y4vc5wjze7heuk3va3riwety

Raman spectroscopy for medical diagnostics — From in-vitro biofluid assays to in-vivo cancer detection

Kenny Kong, Catherine Kendall, Nicholas Stone, Ioan Notingher
2015 Advanced Drug Delivery Reviews  
Furthermore, multivariate calibration and classification models based on Raman spectra can be developed on large "training" datasets and used subsequently on samples from new patients to obtain quantitative  ...  Raman spectroscopy is an optical technique based on inelastic scattering of light by vibrating molecules and can provide chemical fingerprints of cells, tissues or biofluids.  ...  Multivariate classification models based on principal component-linear discriminate analysis indicated sensitivities and specificities of N93% and 98% respectively, using a validation test based on blind  ... 
doi:10.1016/j.addr.2015.03.009 pmid:25809988 fatcat:36nv3pkrynckljc6pzf4a4agvq

Clay Minerals Mapping from Imaging Spectroscopy [chapter]

Gilles Grandjean, Xavier Briottet, Karine Adeline, Anne Bourguignon, Audrey Hohmann
2019 Earth Observation and Geospatial Analyses [Working Title]  
The smectite group highly contributes to the swelling behavior of soils, and because geotechnical soil analyses are expensive and time-consuming, it is urgent to develop new approaches for mapping clays  ...  So detecting and characterizing clay mineral in soils serve urban planning issues and improve the risk reduction by predicting impacts of subsidence on houses and infrastructures.  ...  Acknowledgment Authors would like to thank BRGM and ONERA for funding these studies. We also thank the different students (C. Truche, G. Duffrechou, and E.  ... 
doi:10.5772/intechopen.86149 fatcat:mya2xqtdanfuzlhjxjixvjxmp4

Audio Music Monitoring: Analyzing Current Techniques for Song Recognition and Identification

E.D. Nishan W. Senevirathna, Lakshman Jayaratne
2015 GSTF International Journal on Computing  
To index music, most of the researchers use content based information retrieval mechanism since content based classification doesn't need any additional information rather than audio features embedded  ...  And finally we will conclude this by analyzing the current status of this era.  ...  Most of the researchers have used Hidden Markov Model (HMM) and Gaussian Mixture Model (GMM) as the pattern recognition tool.  ... 
doi:10.7603/s40601-014-0015-7 fatcat:hmb4lmhl3bggvmhtvjs5zg4uei

Image statistics

Erik Reinhard, Tania Pouli, Douglas Cunningham
2010 ACM SIGGRAPH 2010 Courses on - SIGGRAPH '10  
Figure 1 : The left image can easily be recognised as a natural scene. The image on the right however appears as random noise despite both images consisting of the same pixels.  ...  The target audience for this course includes researchers and practitioners in computer graphics, computer vision, as well as image processing who are interesting in understanding how to compute and use  ...  Random cascades of gaussian scale mixtures and their use in modelling natural images with application to denoising. In Proc. 7th IEEE Int'l Conf. on Image Processing. WEBSTER, M.  ... 
doi:10.1145/1837101.1837107 dblp:conf/siggraph/ReinhardPC10 fatcat:6fr7cn2htjc6za6hxlbzu7mcga

Automatic Face Recognition from Video [article]

Ognjen Arandjelovic
2015 arXiv   pre-print
The Generic Shape-Illumination Manifold is evaluated on a large data corpus acquired in real-world conditions and its performance is shown to greatly exceed that of state-of-the-art methods in the literature  ...  The two main contributions are the Generic Shape-Illumination Manifold recognition algorithm and the Anisotropic Manifold Space clustering.  ...  Chapter 8 Person identification system based on combining appearance manifolds with a simple illumination and pose model.  ... 
arXiv:1504.05308v1 fatcat:b3yqebgqk5dnnof2eyiq5zagxq
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