Unimodal Multi-Feature Fusion and one-dimensional Hidden Markov Models for Low-Resolution Face Recognition

The objective of low-resolution face recognition is to identify faces from small size or poor quality images with varying pose, illumination, expression, etc. In this work, we propose a robust low face recognition technique based on one-dimensional Hidden Markov Models. Features of each facial image are extracted using three steps: firstly, both Gabor filters and Histogram of Oriented Gradients (HOG) descriptor are calculated. Secondly, the size of these features is reduced using the Linear Discriminant Analysis (LDA) method in order to remove redundant information. Finally, the reduced features are combined using Canonical Correlation Analysis (CCA) method. Unlike existing techniques using HMMs, in which authors consider each state to represent one facial region (eyes, nose, mouth, etc), the proposed system employs 1D-HMMs without any prior knowledge about the localization of interest regions in the facial image. Performance of the proposed method will be measured using the AR database

Ethylenediamine- and propylenediaminediacetic acid derivatives as ligands for the "fac-[M(CO)3]+" core (M = Re, 99mTc)

The reaction of Re(CO)5Cl with o- or p-N-(nitrophenyl)ethylenediaminediacetic acid (H2L1, H2L2) and o- or p-N-(nitrophenyl)propylenediaminediacetic acid (H2L3, H2L4) in methanol leads to the formation of stable anionic [Et3NH][Re(CO)3(L)]·H2O complexes 1-4. These compounds have been characterized by means of IR, mass spectrometry, elemental analysis, NMR and conductimetry, as well as X-ray crystallography for 2 and 3. The [Re(CO)3]+ moiety is coordinated via the nitrogen of the iminodiacetic acid unit and two oxygens of monodentate carboxylate groups. In each case, the nitro group of the aromatic ring remains uncoordinated. The analogous technetium-99m complexes 1' and 3' were also prepared quantitatively by the reaction of H2L1 and H2L3, respectively, with the fac-[99mTc(CO)3(H2O)3]+ precursor in ethanol. The corresponding Re and 99mTc compounds were shown to possess the same structure by means of HPLC studies. The high affinity of these ligands for the Tc(I) or Re(I) core, coupled with the easiness of their derivatization (by reduction of the nitro group in amino group), implies that the utilization of this ligand system to develop target-specific radiopharmaceuticals for diagnosis and therapy is promising

Offline Face Recognition System Based on GaborFisher Descriptors and Hidden Markov Models

This paper presents a new offline face recognition system. The proposed system is built on one dimensional left-to- right Hidden Markov Models (1D-HMMs). Facial image features are extracted using Gabor wavelets. The dimensionality of these features is reduced using the Fisher’s Discriminant Analysis method to keep only the most relevant information. Unlike existing techniques using 1D-HMMs, in classification step, the proposed system employs 1D-HMMs to find the relationship between reduced features components directly without any additional segmentation step of interest regions in the face image. The performance evaluation of the proposed method was performed with AR database and the proposed method showed a high recognition rate for this database

Colposcopic image registration using opponentSIFT descriptor

This work presents a colposcopic image registration system able to help physicians for cervical cancer diagnosis. The goal is to make registration between the cervical tissue throughout the whole temporal sequence. Recent digital images processing works, suggested using feature points to compute the tissue displacement. These methods achieve good results, because they are fast and do not need any segmentation, but to date, all methods based on feature points are sensitive to light change and reflections which are frequently current in colposcopic images. To solve this problem, we propose to apply the opponentSIFT descriptor which describes features point in the opponent color space. Experimental results show the robustness of this descriptor in colposcopic images registration in comparison with other descriptors

Synthesis, physicochemical, conformation and quantum calculation of novel N-(1-(4-bromothiophen-2-yl)ethylidene)-2-(piperazin-1-yl)ethanamine Schiff base

N-(1-(4-bromothiophen-2-yl)ethylidene)-2-(piperazin-1-yl)ethanamine Schiff base ligand was prepared in very good yield by condensation of equimolar amounts of 1-(4-bromothiophen-2-yl)ethanone with 2-(piperazin-1-yl)ethanamine under reflux condition using alcohol media. The desired Schiff base was analyzed on the basis of its MS, elemental analysis, UV-visible, FT-IR and NMR analysis. The E and Z optimization was performed to figure out the most stable isomer. Several DFT quantum calculation like: TD-SCF, MPE, IR-vibration, NMR, Mulliken population were carried out by B3LYP level of theory. The experimental analyses of the compound were compared to their theoretical coordinates

Inhibition performance of a novel quinoxaline derivative for carbon steel corrosion in 1 M HCl

In this work, the effect of a new quinoxaline derivative, 2-phenyl-3-(prop-2-yn-1-yloxy) quinoxaline (PYQX), was evaluated as a corrosion inhibitor for carbon steel (CS) in 1 M HCl electrolyte. Weight loss measurement, atomic absorption spectroscopy, potentio­dynamic polarization, electrochemical impedance spectroscopy, scanning electron microscopy with energy dispersive spectroscopy, and UV-vis spectroscopy were employed to assess the inhibitory activity. The electronic properties of the interaction between the inhibitor molecule and the CS substrate were studied using molecular dynamics (MD) simulation, density functional theory (DFT), and Fukui functions. According to AC impedance experiments, the inhibitor under consideration showed a maximum level of 98.1 % inhibition efficiency at 1 mM and 30 °C. The Langmuir adsorption isotherm model explains the adsorption of PYQX on the CS surface. A slope of 1 denotes a strong molecule-substrate interaction, suggesting that the binding occurs at specific surface locations. To understand the functioning of the adsorption mechanism, various thermodynamic and activation parameters were evaluated. PDP tests demonstrated that PYQX functions as a mixed-type inhibitor. Computational correlations (DFT, MD, and Fukui indices) supported the experimental findings

Epilepsy as a Presentation of a Neuroglial Cyst Associated with Dysgenesis of Corpus Callosum in a Child

Neuroglial (glioependymal) cyst is a rare congenital tumor of the central nervous system usually found in childhood. It can be isolated or associated with other brain malformations. Magnetic resonance imaging is the technique of choice for making the diagnosis. We report the case of a 10-year-old child who presented with epileptic seizures revealing a neuroglial cyst and dysgenesis of the corpus callosum

Sensitization of Eu(III) luminescence by donor-phenylethynyl-functionalized DTPA and DO3A macrocycles

WOS:000281662600012International audienceThe synthesis and complexation to Eu(III) of two macrocyclic ligands functionalized donor-phenylethynyl-moieties as sensitizer is presented The two ligands based on DTPA bis-amide ([Eu(L(1))]) and DO3A ([Na][Eu(L(2))]) have been chosen because of their increased stability in water for potential applications as luminescent bioprobes for one- or two-photon excited scanning microscopy The DTPA and DO3A ligands possess oxygen or sulfur donor atoms, respectively, connected to a tnethyleneglycol (PEG) chain to ensure the water solubility. The optical properties were studied and reveal that ((Eu(L(1))1) present a lower brightness than the ([Nal[Eu(L(2))]) counterpart because of its inner sphere water molecule coordination that quenches the emission On the other hand, [NallEu(1.2)1 exhibits excellent spectroscopic properties with high quantum yield phi = 0.284, and brightness B = 10,220 M(-1)cm(-1)(defined as epsilon.phi) Unfortunately, the two-photon cross-section of this last complex was measured to be only 4 GM limiting its potential applications to linear microscopy. (C) 2010 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved. R SU