scholarly journals A Robust Illumination Normalization Method Based on Mean Estimation for Face Recognition

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yong Luo ◽  
Ye-Peng Guan ◽  
Chang-Qi Zhang
Keyword(s):  
Face Recognition ◽  
Estimation Method ◽  
Texture Features ◽  
Mean Value ◽  
Normalization Method ◽  
Illumination Normalization ◽  
Practical Applications ◽  
The Arts ◽  
Mean Estimation ◽  
The Impact

An illumination normalization method for face recognition has been developed since it was difficult to control lighting conditions efficiently in the practical applications. Considering that the irradiation light is of little variation in a certain area, a mean estimation method is used to simulate the illumination component of a face image. Illumination component is removed by subtracting the mean estimation from the original image. In order to highlight face texture features and suppress the impact of adjacent domains, a ratio of the quotient image and its modulus mean value is obtained. The exponent result of the ratio is closely approximate to a relative reflection component. Since the gray value of facial organs is less than that of the facial skin, postprocessing is applied to the images in order to highlight facial texture for face recognition. Experiments show that the performance by using the proposed method is superior to that of state of the arts.

Kinematical measurement of hydraulic tortuosity of fluid flow in porous media

2015 ◽  
Vol 26 (02) ◽  
pp. 1550017 ◽  
Author(s):  
Y. Jin ◽  
J. B. Dong ◽  
X. Li ◽  
Y. Wu
Keyword(s):  
Porous Media ◽  
Flow Direction ◽  
Estimation Method ◽  
Mean Value ◽  
Calculation Model ◽  
Flow In Porous Media ◽  
Porous Media Flow ◽  
Average Value ◽  
The Mean ◽  
The Impact

It is hard to experimentally or analytically derive the hydraulic tortuosity (τ) of porous media flow because of their complex microstructures. In this work, we propose a kinematical measurement method for τ by introducing the concept of local tortuosity, which is defined as the ratio of fluid particle velocity to its component along the macro flow. And then, the calculation model of τ is analytically deduced in terms of that τ is the mean value of the local tortuosity. To avoid the impact from the singularity of local tortuosity, the velocity is normalized, and τ is then approximated by the ratio of the mean normalized velocity to the average value of its component along the macro-flow direction. The new estimation method is verified by flow through different types of porous media via the lattice Boltzmann method, and the relationships between permeabilities and tortuosities obtained by different methods are examined. The numerical results show that tortuosity by the novel approach is in good agreement with the existing theory, and the kinematic definition of hydraulic tortuosity is also proven.

Illumination Normalization for Face Recognition Based on Inherent Texture Features within Micro-Neighborhood

2008 ◽  
Vol 28 (11) ◽  
pp. 2083-2089
Author(s):  
孙雪梅 Sun Xuemei ◽  
苏菲 Su Fei ◽  
蔡安妮 Cai Anni
Keyword(s):  
Face Recognition ◽  
Texture Features ◽  
Illumination Normalization

2D(PC)2A Based Dimensionality Reduction of Textural Feature for Face Recognition with a Single Training Sample

2014 ◽  
Vol 596 ◽  
pp. 311-315
Author(s):  
Wen He Sun
Keyword(s):  
Face Recognition ◽  
Nearest Neighbor ◽  
Gabor Filter ◽  
Texture Feature ◽  
Texture Features ◽  
Recognition System ◽  
Training Sample ◽  
Practical Applications ◽  
Feature Extract ◽  
2D Gabor Filter

Face recognition system works badly in practical applications because only single training sample image per person is stored in the system owing to hard collecting training samples. We present a novel face recognition scheme with single training sample using 2D Gabor filter and 2D(PC)2A under varying light conditions. Firstly, 2D texture feature extract with Gabor filter captures the properties of spatial localization, orientation selectivity, and spatial frequency selectivity to cope with the variations in illumination. Secondly, 2D(PC)2A is to extract statistical texture features under one training sample. Finally matrix-based similarity nearest neighbor classifier is used to classify a new face for recognition. Some experiments are implemented to testify the feasibility of the proposed scheme.

Exile, Diaspora, and Return

2017 ◽  
Author(s):  
Luis Roniger ◽  
Leonardo Senkman ◽  
Saúl Sosnowski ◽  
Mario Sznajder
Keyword(s):  
Systematic Analysis ◽  
The Arts ◽  
Scientific Disciplines ◽  
Early Twenty ◽  
Transnational Connections ◽  
Late Twentieth ◽  
Institutional Impact ◽  
Global Arena ◽  
Education Science ◽  
The Impact

This book explores how Argentina, Chile, Paraguay, and Uruguay have been affected by postexilic relocations, transnational migrant displacements, and diasporas. It provides a systematic analysis of the formation of exile communities and diaspora politics, the politics of return, and the agenda of democratization in the late twentieth and early twenty-first centuries, focusing on the impact of intellectuals, academics, activists, and public figures who had experienced exile on the reconstitution and transformation of their societies following democratization. Readers are offered a kaleidoscope of intellectual itineraries, debates, and contributions held in the public domain by individuals who confronted and fought authoritarian rule. The book covers their contributions to the restructuring and transformation of scientific disciplines and of the humanities and the arts, as well as their collective institutional impact on higher education, science and technology, and public institutions. Bringing together sociopolitical, cultural, and policy analysis with the testimonies of dozens of intellectuals, academics, political activists, and policymakers, the book addresses the impact of exile on people’s lives and on their fractured experiences, the debates and prospects of return, the challenges of dis-exile and postexilic trends, and, finally, the ways in which those who experienced exile impacted democratized institutions, public culture, and discourse. It also follows some crucial shifts in the frontiers of citizenship, moving analysis to transnational connections and permanent diasporas, including the diasporas of knowledge that increasingly changed the very meaning of being national and transnational, while connecting those countries to the global arena.

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