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Comments on: "Robust line fitting in a noisy image by the method of moments"

N. Kiryati, A.M. Bruckstein, H. Mizrahi
2000 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Qjidaa and Radouane have recently presented a method for robust line tting and experimentally compared it to other methods, including a method suggested by us.  ...  The results attributed by Qjidaa and Radouane to our algorithm are incorrect. We apply our algorithm to the data used by Qjidaa and Radouane and demonstrate its robustness and accuracy.  ...  The results attributed by Qjidaa and Radouane to Left: Fitting a line to a set of data points taken from Figure 3 of 1]. The solid line was obtained in our laboratory using the KA-algorithm 2].  ... 
doi:10.1109/34.888720 fatcat:r7xqidfysjbqvglkubq7ssdgxm

Training Methods for Image Noise Level Estimation on Wavelet Components

A. De Stefano, P.R. White, W.B. Collis
2004 EURASIP Journal on Advances in Signal Processing  
Two of these methods rely on a preliminary training stage in order to extract parameters which are then used in the application stage.  ...  The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques.  ...  ACKNOWLEDGMENT We would like to gratefully acknowledge the financial support of Snell and Wilcox Ltd. in conducting this work and would particularly like to thank Martin Weston for his many comments and  ... 
doi:10.1155/s1110865704401218 fatcat:bqpj6gtotjgltjvqgfv7emrwna

Empirical Validation of Agent-Based Models ✶ ✶We gratefully acknowledge the very detailed and careful comments by three anonymous reviewers. Very useful feedback and comments have also been provided by Robert Axtell, Herbert Dawid, Cees Diks, and Blake LeBaron [chapter]

Thomas Lux, Remco C.J. Zwinkels
2018 Handbook of Computational Economics  
would consist in a method-of-moments approach based upon the relevant patterns.  ...  The exact goodness-of-fit test is conditional on the estimation method.  ... 
doi:10.1016/bs.hescom.2018.02.003 fatcat:6pz4frnrbbgwzdlbcq7zx33oye

On Optimal Information Storage in Synapses

Lav R. Varshney, Dmitri B. Chklovskii
2007 2007 IEEE Information Theory Workshop  
We also comment on the robustness of our optimization principles to uncertainties that are inherent in science. 1-4244-1564-0/07/$25.00  ...  Among the functions of the brain is information storage, which is physically implemented through changes in the strengths of synapses.  ...  ACKNOWLEDGMENT We thank Per Jesper Sjöström, a co-author of [6] , who was key in tying theory to experiment.  ... 
doi:10.1109/itw.2007.4313109 fatcat:bzpamwgzbrgjbe2kvr3kleegmi

A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky?Golay filter

2004 Remote Sensing of Environment  
the present study a simple but robust method based on the Savitzky -Golay filter to smooth out noise in NDVI time-series, specifically that caused primarily by cloud contamination and atmospheric variability  ...  From the results obtained by applying the newly developed method to a 10-day MVC SPOT VGT-S product, we provide optimized parameters for the new method and compare this technique with the BISE algorithm  ...  Acknowledgements This research was partially supported by the Watershed Environments and Management Research Project at the National Institute for Environmental Studies, Japan, the project of Ecosystem  ... 
doi:10.1016/s0034-4257(04)00080-x fatcat:dul7cekm2nbplmtf35da5jdr6y

Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood

X. Descombes, R.D. Morris, J. Zerubia, M. Berthod
1999 IEEE Transactions on Image Processing  
We estimate the parameters from a synthetic and a real image, and then resynthesize the models to demonstrate which features of the image have been captured by the model.  ...  We demonstrate this algorithm on three MRF models-the standard Potts model, an inhomogeneous variation of the Potts model, and a long-range interaction model, better adapted to modeling real-world images  ...  Denote the noisy image by and the restored image by where is the lattice and is a pixel.  ... 
doi:10.1109/83.772239 pmid:18267508 fatcat:frhrjszpxfgwtp7xen4ncocmge

Visual map-less navigation based on homographies

J. J. Guerrero, R. Martinez-Cantin, C. Sagüés
2005 Journal of Robotic Systems  
We introduce a method for autonomous robot navigation based on homographies computed between current image and images taken in a previous teaching phase with a monocular vision system.  ...  The proposed method, which uses a sole calibration parameter, has turned out to be specially useful to correct heading and lateral displacement, which are critical in systems based on odometry.  ...  An homography relates points or lines in one image belonging to a plane of the scene with points or lines in the other image.  ... 
doi:10.1002/rob.20077 fatcat:tm7bt7usybebfngmp2nnnhccky

An Efficient Feature Extraction Method with Pseudo-Zernike Moment in RBF Neural Network-Based Human Face Recognition System

Javad Haddadnia, Majid Ahmadi, Karim Faez
2003 EURASIP Journal on Advances in Signal Processing  
This paper introduces a novel method for the recognition of human faces in digital images using a new feature extraction method that combines the global and local information in frontal view of facial  ...  Simulation results on the face database of Olivetti Research Laboratory (ORL) indicate that the proposed method for human face recognition yielded a recognition rate of 99.3%.  ...  ACKNOWLEDGMENTS The authors would like to thank Natural Sciences and Engineering Research Council (NSERC) of Canada and Micronet for supporting this research and the anonymous reviewers for helpful comments  ... 
doi:10.1155/s1110865703305128 fatcat:hqa5d6smi5e67fke35fem2qbae

Robust compressive sensing of sparse signals: a review

Rafael E. Carrillo, Ana B. Ramirez, Gonzalo R. Arce, Kenneth E. Barner, Brian M. Sadler
2016 EURASIP Journal on Advances in Signal Processing  
Among the scenarios in which robust performance is required, applications where the sampling process is performed in the presence of impulsive noise, i.e., measurements are corrupted by outliers, are of  ...  The derived methods outperform existing compressed sensing techniques in impulsive environments, while achieving good performance in light-tailed environments, thus offering a robust framework for CS.  ...  A few comments on the cost functions In the same manner as the myriad estimator, robustness properties of the Lorentzian norm are defined by the scale parameter γ .  ... 
doi:10.1186/s13634-016-0404-5 fatcat:5guvueoul5buhl7h2k7jq3zh64

Dicussion on the meeting on 'Statistical approaches to inverse problems'

2004 Journal of The Royal Statistical Society Series B-statistical Methodology  
These comments are borne out by the reconstructions in Fig. 3 of the paper.  ...  In image restoration, edge effects are considered by many researchers to be one of the main sources of distortions: in certain conditions, the artefacts that are associated with the image boundary truncations  ... 
doi:10.1111/j.1467-9868.2004.2060d.x fatcat:665fukpujbgybjcsdnqrbgdoai

Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input

Adel Bibi, Modar Alfadly, Bernard Ghanem
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
One important aspect of this analysis has recently gained much attention, namely the reaction of a DNN to noisy input.  ...  To this end, we derive in this paper exact analytic expressions for the first and second moments (mean and variance) of a small piecewise linear (PL) network (Affine, ReLU, Affine) subject to general Gaussian  ...  This work was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research. We thank Prof. Ahmed S. Salem for his review, recommendations and directions.  ... 
doi:10.1109/cvpr.2018.00948 dblp:conf/cvpr/BibiAG18 fatcat:5c4z2ggcyjds3ciac3jte5qr7u

Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising

S. Lefkimmiatis, P. Maragos, G. Papandreou
2009 IEEE Transactions on Image Processing  
We build on previous work, adopting a multiscale representation of the Poisson process in which the ratios of the underlying Poisson intensities (rates) in adjacent scales are modeled as mixtures of conjugate  ...  Our main contributions include: 1) a rigorous and robust regularized expectation-maximization (EM) algorithm for maximum-likelihood estimation of the rate-ratio density parameters directly from the noisy  ...  ACKNOWLEDGMENT The authors would like to thank B. Zhang for providing the images used for comparisons in Table IV .  ... 
doi:10.1109/tip.2009.2022008 pmid:19414285 fatcat:iavh44mqtbg33omxordo5ecqoa

2-D Ultrasound Probe Complete Guidance by Visual Servoing Using Image Moments

R. Mebarki, A. Krupa, F. Chaumette
2010 IEEE Transactions on robotics  
This paper presents a visual-servoing method that is based on 2-D ultrasound (US) images.  ...  The method we propose allows the control of both in-plane and out-of-plane probe motions. Its feedback visual features are combinations of moments extracted from the observed image.  ...  That robustness is of great interest in US modality because of the very noisy images of the latter.  ... 
doi:10.1109/tro.2010.2042533 fatcat:iid2onb4m5ewpkycwxyeaaii4a

Edge-preserving image denoising and estimation of discontinuous surfaces

I. Gijbels, A. Lambert, P. Qiu
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we are interested in the problem of estimating a discontinuous surface from noisy data.  ...  A novel procedure for this problem is proposed based on local linear kernel smoothing, in which local neighbourhoods are adapted to the local smoothness of the surface measured by the observed data.  ...  The authors are grateful to the anonymous referees for their helpful comments and suggestions.  ... 
doi:10.1109/tpami.2006.140 pmid:16792097 fatcat:34t37akxtzgn5egzg4tsdnczru

Simultaneous two-view epipolar geometry estimation and motion segmentation by 4D tensor voting

Wai-Shun Tong, Chi-Keung Tang, G. Medioni
2004 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Given a set of noisy image pairs containing matches of n objects, we propose an unconventional, efficient, and robust method, 4D tensor voting, for estimating the unknown n epipolar geometries, and segmenting  ...  Our novel approach consists of propagating a local geometric smoothness constraint in the 4D joint image space, followed by global consistency enforcement for extracting the fundamental matrices corresponding  ...  ACKNOWLEDGMENTS The authors are indebted to the associate editor and all anonymous reviewers for their very constructive comments and thoughtful discussion with the authors throughout the review process  ... 
doi:10.1109/tpami.2004.72 pmid:15742892 fatcat:lb2tf7z7rvh5jpx7vc4unac4l4
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