Search results for "Signal"

showing 10 items of 6924 documents

Remaillage semi-régulier pour les maillages surfaciques triangulaires : un état de l'art

2010

National audience; Les maillages surfaciques triangulaires sont désormais couramment utilisés pour modéliser des formes tridimensionnelles. Beaucoup de ces modèles géométriques sont obtenus à partir de techniques de numérisation scanner ou de représentations implicites (isosurfaces). Ainsi la géométrie de ces maillages est souvent très dense (sur-échantillonnage) et leur connectivité arbitraire (irrégularité du voisinage des sommets). Il est alors souvent nécessaire de les remailler afin de réduire leur complexité (simplification), améliorer la qualité des triangles produits, optimiser l'échantillonnage de la géométrie ou encore rendre la connectivité la plus régulière possible. Concernant …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingsemi-réguliermaillages surfaciquesremaillage semi-régulier[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Imagerie polarimétrique : principes et applications.

2016

National audience

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicComputingMilieux_MISCELLANEOUS
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Human interaction recognition based on the co-occurence of visual words

2014

International audience; This paper describes a novel methodology for automated recognition of high-level activities. A key aspect of our framework relies on the concept of co-occurring visual words for describing interactions between several persons. Motivated by the numerous success of human activity recognition methods using bag-of-words, this paradigm is extended. A 3-D XYT spatio-temporal volume is generated for each interacting person and a set of visual words is extracted to represent his activity. The interaction is then represented by the frequency of co-occurring visual words between persons. For our experiments, we used the UT-interaction dataset which contains several complex hum…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinggenetic structures[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Some optical methods for cutaneous diagnostic help - Focus on multispectral imaging

2010

International audience; Some optical methods for cutaneous diagnostic help - Focus on multispectral imaging

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinggenetic structures[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingeducationsense organs[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processinghealth care economics and organizationseye diseases[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Blind source separation of skin chromophores on a hyperspectral cube

2010

International audience; Background/Purpose The ASCLEPIOS system developed by the M2D+ team of the Le2i laboratory (Université de Bourgogne, France) allows determination of a skin reflectance spectrum over the visible wavelength range in each pixel of a 2D image, thereby generating a hyperspectral (3D) cube. Reflectance spectra mainly result from the reflectance of two skin chromophores, epidermal melanin and dermal haemoglobin. A source separation method was applied on the mixed reflectance spectra, resulting in two component spectra for melanin and haemoglobin, respectively. We also obtained through this process quantification of each chromophore in each pixel of a 2D skin image. The accur…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingintegumentary system[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingsense organs[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A smart camera for High Dynamic Range imaging

2013

International audience; A camera or a video camera is able to capture only a part of a high dynamic range scene information. The same scene can be almost totally perceived by the human visual system. This is true especially for real scenes where the difference in light intensity between the dark areas and bright areas is high. The imaging technique which can overcome this problem is called HDR (High Dynamic Range). It produces images from a set of multiple LDR images (Low Dynamic Range), captured with different exposure times. This technique appears as one of the most appropriate and a cheap solution to enhance the dynamic range of captured environments. We developed an FPGA-based smart cam…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingsmart camera[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHigh dynamic range[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Nouvelle tomographie Compton

2009

International audience

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A classification approach to prostate cancer localization in 3T Multi-Parametric MRI

2016

International audience; Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies, its potential in prostate cancer detection and analysis. We propose a supervised classification approach based on mp-MRI data base of 20 patients, in order to localize prostate cancer and to achieve a cartographic representation of the prostate voxels based on classification results. Proposed method provides a computer aided detection (CAD) software for prostatic cancer. For that, we have extracted varied features providing functional, anatomical and metabolic information helping the classifier to distinguish between three different classes ("Healthy", "Benign" and "Pathologic"). W…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SPI] Engineering Sciences [physics][INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceSVMFeature extractionWord error ratecomputer.software_genre030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer[SPI]Engineering Sciences [physics]0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingProstateVoxelmedicine[ SPI ] Engineering Sciences [physics]Computer visionProstate cancermedicine.diagnostic_testbusiness.industryPattern recognitionMagnetic resonance imagingSpectramedicine.disease3. Good healthRandom forestSupport vector machinemedicine.anatomical_structuremp-MRIArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryRandom forest
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A comparative study of noise effects in a FitzHugh-Nagumo circuit

2014

International audience; This paper focuses on the behaviour of a nonlinear FitzHugh-Nagumo circuit in the stochastic case that is in presence of noise and without deterministic driving. When the circuit is tuned below the Andronov-Hopf bifurcation, classical coherence res- onance signature is revealed. We compare the stochastic response of the system when the noise acts on two different parameters of the system. It is experimentally shown that an enhancement of the systems response can be achieved when the noise is directly added into the nonlinearity.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SPI] Engineering Sciences [physics][INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI]Engineering Sciences [physics][NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI ] Engineering Sciences [physics][ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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CDnet 2014: An Expanded Change Detection Benchmark Dataset

2014

International audience; Change detection is one of the most important low-level tasks in video analytics. In 2012, we introduced the changedetection.net (CDnet) benchmark, a video dataset devoted to the evalaution of change and motion detection approaches. Here, we present the latest release of the CDnet dataset, which includes 22 additional videos (~70,000 pixel-wise annotated frames) spanning 5 new categories that incorporate challenges encountered in many surveillance settings. We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the IEEE Change Detection Workshop 2014. We highlight strengths and weaknesses of these metho…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingbusiness.industryComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMotion detection[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcomputer.software_genre[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingAnalyticsBenchmark (computing)Data miningbusinesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingChange detection[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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