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International Conference on signal processing and Multimedia Applications (SIGMAP)

作者： Franco Del Colle Juan Carlos Gómez Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Rosario Argentina CIFASIS CONICET Rosario Argentina

In this paper, a novel DWT-SVD perceptual fidelity metric for the evaluation of watermarking schemes is introduced. The proposed metric is based on a widely used Human Visual Model in the Discrete Wavelet Transform domain accounting for the frequency sensitivity, and the local luminance and contrast masking effects of the human eye. A relationship between the visual model in the DWT domain and the modification of the wavelet coefficients's singular values is derived. The proposed metric is validated through subjective assessment and its performance is compared to several state-of-the-art perceptual image distortion metrics. The paper focus on Image Adaptive Watermarking methods in the Discrete Wavelet Transform Domain since they yield better results regarding robustness and transparency than other watermarking schemes.

关键词： Measurement Watermarking Discrete wavelet transforms Wavelet domain Matrix decomposition Quantization Humans

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Generic Face Animation

Generic Face Animation

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Computer Science Society (SCCC) International Conference Chilean FLAGGED

作者： Mauricio Cerda Renato Valenzuela Nancy Hitschfeld-Kahler Lucas D. Terissi Juan C. Gómez INRIA-Loria Nancy Grand Est Vandoeuvre-les-Nancy France Department of Computer Science Universidad de Chile Santiago Chile Laboratory for System Dynamics and Signal Processing CIFASIS CONICET Universidad Nacional de Rosario Rosario Argentina Laboratory for System Dynamics and Signal Processing CONICET Rosario Argentina

In computer vision, the animation of objects has attracted a lot of attention, specially the animations of 3D face models. The animation of face models requires in general to manually adapt each generic movement (open/close mouth) to each specific head geometry. In this work we propose a technique for the animation of any face model avoiding most of the manual intervention. In order to achieve this we assume that: (1) faces, despite obvious differences are quite similar and a single generic model can be used to simplify deformations and (2) using this face model, a simple interpolation technique can be used, with minimal manual intervention. Several examples are presented to verify the realism of the obtained animations.

关键词： Animation Three dimensional displays Face Deformable models Interpolation Solid modeling Adaptation model

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Generic face animation

Generic face animation

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作者： Cerda, Mauricio Valenzuela, Renato Hitschfeld-Kahler, Nancy Terissi, Lucas D. Gómez, Juan C. INRIA-Loria Nancy Grand Est Equipe Cortex - Bat. C040 54506 Vandoeuvre-les-Nancy France Department of Computer Science Universidad de Chile Blanco Encalada 2120 Santiago Chile Laboratory for System Dynamics and Signal Processing Universidad Nacional de Rosario CONICET Rosario Argentina

ISBN: (纸本)9780769544007

关键词： Animation

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Quantitative improvements in cDNA microarray spot segmentation

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4th Brazilian Symposium on Bioinformatics, BSB 2009

作者： Larese, Mónica G. Gómez, Juan Carlos Centro Internacional Franco-Argentino de Ciencias de la Informacion y de Sistemas CIFASIS-CONICET Bv. 27 de Febrero 210 Bis Rosario 2000 Argentina Laboratory for System Dynamics and Signal Processing FCEIA UNR Riobamba 245 Bis Rosario 2000 Argentina

ISBN: (纸本)3642032222

When developing a cDNA microarray experiment, the segmentation of individual spots is a crucial stage. Spot intensity measurements and gene expression ratios directly depend on the effectiveness and accuracy of the segmentation results. However, since the ground truth is unknown in microarray experiments, quantification of the accuracy of the segmentation process is a very difficult task. In this paper an improved unsupervised technique based on the combination of clustering algorithms and Markov Random Fields (MRF) is proposed to separate the foreground and background intensity signals used in the spot ratio computation. The segmentation algorithm uses one of two alternative methods to provide for initialization, namely K-means and Gaussian Mixture Models (GMM) clustering. This initial segmentation is then processed via MRF. Accuracy is measured by means of a set of microarray images containing spike spots where the target ratios are known a priori, thus making it possible to quantify the expression ratio errors. Results show improvements over state-of-the-art procedures. © 2009 Springer Berlin Heidelberg.

关键词： Gene expression

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Subspace based nonlinear multichannel blind identification/equalization

Subspace based nonlinear multichannel blind identification/e...

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15th IFAC Symposium on system Identification, SYSID 2009

作者： Gómez, Juan C. Baeyens, Enrique Poolla, Kameshwar Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba 245 Bis 2000 Rosario Argentina Department of Systems Engineering and Automatic Control ETSII Universidad de Valladolid Paseo del Cauce s/n 47011 Valladolid Spain Department of Mechanical Engineering University of California at Berkeley 5141 Etcheverry Hall Berkeley CA 94720-1740 United States

ISBN: (纸本)9783902661470

A subspace based approach for the blind identification/equalization of nonlinear Single Input Multiple Output (SIMO) time-invariant channels is presented in this paper. The considered models include, but are not limited to, polynomial approximations of nonlinear channels (i.e., Volterra models), which have been used to represent satellite communications, magnetic recording channels, and physiological processes, among other applications. The channel parameters are estimated in closed form, up to a scalar factor, by computing the column space of the output Hankel matrix, via a Singular Value Decomposition (SVD), and then solving a Least Squares (LS) estimation problem also resorting to an SVD. Numerical simulations are used to illustrate the performance of the proposed algorithms. © 2009 IFAC.

关键词： Singular value decomposition

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Subspace based Nonlinear Multichannel Blind Identification/Equalization

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IFAC Proceedings Volumes 2009年第10期42卷 1692-1697页

作者： Juan C. Gómez Enrique Baeyens Kameshwar Poolla Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario CIFASIS CONICET Riobamba 245 Bis 2000 Rosario Argentina Department of Systems Engineering and Automatic Control ETSII Universidad de Valladolid Paseo del Cauce s/n 47011 Valladolid Spain Department of Mechanical Engineering University of California at Berkeley 5141 Etcheverry Hall Berkeley CA 94720-1740 USA

关键词： Identification Subspace Methods Nonlinear system Communication Channels

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Subjective verification of perceptual metrics for Image Watermarking fidelity

Subjective verification of perceptual metrics for Image Wate...

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SIGMAP 2008 - International Conference on signal processing and Multimedia Applications

作者： Colle, Franco Del Gómez, Juan Carlos Laboratory for System Dynamics and Signal Processing FCEIA Universidad National de Rosario Argentina CIFASIS CONICET

ISBN: (纸本)9789898111609

In this paper, the performance of several state-of-the-art watermark perceptual transparency metrics is evaluated through subjective assessment. Simulation results show that a metric based on S-CIELAB distortion maps proved to be better correlated to the subjective tests than other objective metrics available in the literature. The paper focus on Image Adaptive Watermarking methods in the Discrete Wavelet Transform Domain since they yield better results regarding robustness and transparency than other watermarking schemes.

关键词： Discrete wavelet transforms

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Fidelity and robustness analysis of image adaptive DWT-based watermarking schemes

Fidelity and robustness analysis of image adaptive DWT-based...

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SIGMAP 2007 - International Conference on signal processing and Multimedia Applications

作者： Colle, Franco Del Gómez, Juan Carlos Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Argentina

An Image Adaptive Watermarking method based on the Discrete Wavelet Transform is presented in this paper. The robustness and fidelity of the proposed method are evaluated and the method is compared to state-of-the-art watermarking techniques available in the literature. For the evaluation of watermark transparency, an image fidelity factor based on a perceptual distortion metric is introduced. This new metric allows a perceptually aware objective quantification of image fidelity.

关键词： Discrete wavelet transforms

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Facial motion tracking and animation: An ICA-based approach

Facial motion tracking and animation: An ICA-based approach

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15th European signal processing Conference, EUSIPCO 2007

作者： Terissi, Lucas D. Gómez, Juan C. Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba 245 Bis 2000 Rosario Argentina

ISBN: (纸本)9788392134022

Algorithms for facial motion tracking and animation of avatars based on video sequences of a real person are presented in this paper. The tracking algorithm is based on image processing techniques and Independent Component Analysis (ICA), while the animation algorithm is based on Facial Animation Parameters of the MPEG-4 standard. Simulation results illustrating the performance of the proposed algorithms are also included in this paper. © 2007 EURASIP.

关键词： Independent component analysis

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Facial motion tracking and animation: AN ICA-based approach

Facial motion tracking and animation: AN ICA-based approach

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European signal processing Conference (EUSIPCO)

作者： Lucas D. Terissi Juan C. Gómez Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Riobamba 245 Bis Rosario Argentina

关键词： signal processing algorithms Face Facial animation Transform coding Tracking Avatars

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