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Target scattering coefficient measurement system and method

Target scattering coefficient measurement system and method

引用

10th ieee International conference on Signal processing, communications and Computing (ieee ICSPCC)

作者： Wang, Yangyang Zhang, Xiaoling Shi, Jun Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China

ISBN: (数字)9781728172026

ISBN: (纸本)9781728172019

The traditional RCS measurement needs to meet the far-field conditions or special equipment, which has high cost and many limitations. In order to overcome these drawbacks, it is a feasible method to obtain far-field RCS through near-field measurement. In this article, we design a two-dimensional scanning system, which can obtain the near-field three-dimensional scattering coefficient image of the target. Then, we adopt a near-field to far-field transformation method based on spherical wave compensation and back projection to acquire far-field RCS. Finally, some simulation and experimental results show the effectiveness of the system and the developed approach.

关键词： radar cross section Near-field measurement three-dimensional scattering coefficient image near-field to far-field transformation

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A New Approach to Vision-Aided Inertial Navigation

A New Approach to Vision-Aided Inertial Navigation

引用

ieee/RSJ International conference on Intelligent Robots and Systems

作者： Tardif, Jean-Philippe George, Michael Laverne, Michel Kelly, Alonzo Stentz, Anthony Carnegie Mellon Univ Inst Robot Pittsburgh PA 15201 USA

ISBN: (纸本)9781424466757

We combine a visual odometry system with an aided inertial navigation filter to produce a precise and robust navigation system that does not rely on external infrastructure. Incremental structure from motion with sparse bundle adjustment using a stereo camera provides real-time highly accurate pose estimates of the sensor which are combined with six degree-of-freedom inertial measurements in an Extended Kalman Filter. The filter is structured to neatly handle the incremental and local nature of the visual odometry measurements and to handle uncertainties in the system in a principled manner. We present accurate results from data acquired in rural and urban scenes on a tractor and a passenger car travelling distances of several kilometers.

关键词： Kalman filters aerospace robotics aircraft control degree-of-freedom inertial measurements extended Kalman filter image sensors inertial navigation legged locomotion motion estimation motion estimation device pose estimation pose estimation robot vision stereo camera stereo image processing vision-aided inertial navigation visual odometry measurements visual odometry system

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Learning-based Hierarchical Clustering Regression for Efficient Unaligned Face Hallucination 10

Learning-based Hierarchical Clustering Regression for Effici...

引用

10th International conference on Wireless communications and Signal processing (WCSP)

作者： Wang, Shuyun Gan, Zongliang Liu, Feng Nanjing Univ Posts & Telecommun Jiangsu Prov Key Lab Image Proc & Image Commun Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781538661192

In this paper, we propose an effective single image super-resolution method for unaligned face images, in which the learning-based hierarchical clustering regression approach is used to get better reconstruction model. The proposed face hallucination method can be divided into two parts: clustering and regression. In the clustering part, a dictionary is trained on the whole face image with tiny size, and the training images are clustered based on the Euclidean distance. Thus, the facial structural prior is fully utilized and the accurate result of clustering can be obtained. In the regression part, only one global dictionary in which atoms are taken as the anchors, will be trained in the entire training phase. Therefore, the time complexity can be effectively reduced. More importantly, the learned anchors are shared with all the clusters. For each cluster, the Euclidean distance is used to search the nearest neighbors for each anchor to form the subspace. Moreover, a regression model is learned to map the relationship between low-resolution features and high-resolution samples in every subspace. The core idea of our method is to utilize the same anchors but different samples for clusters to learn the local mapping more accurately, which can reduce training time and improve reconstruction quality. Experimental results show that the proposed method outperforms some state-of-the-art methods.

关键词： super-resolution face hallucination regression hierarchical the Euclidean distance

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Denoising robust image filter with retention of small-size details in presence of complex noise mixture

Denoising robust image filter with retention of small-size d...

引用

conference on visual communications and image processing 2002

作者： Ponomaryov, VI Funes, FJG Pogrebnyak, OB de Rivera, LN Inst Politecn Nacl Escuela Super Ingn Mecan & Elect Mexico City 04430 DF Mexico

ISBN: (纸本)0819444111

In this paper, we present the implementation of the robust detail preserving filters with complex noise suppression for image processing applications. The designed filter is the consequential connection of two filters. The first filter uses the value of central pixel of the filtering window to provide the preservation of fine details and the redescending M-estimators combined with the median estimator to provide impulsive noise rejection. The second filter uses the output of the first filter as the pre-estimator for an adaptive calculation in the redescending M-estimator. We investigated various types of influence functions in the M-estimator those are similar to the ones used in the Sigma filter to provide multiplicative noise suppression. The optimal values of the parameters of designed filters in presence of different noise mixture are determined. Different simulation data are presented in the paper and shown the statistical efficiency of the filters.

关键词： order statistics filters RM estimators RM-KNN filters

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Model-based PDE method and model-free PDE method for motion de-blurring

Model-based PDE method and model-free PDE method for motion ...

引用

conference on visual communications and image processing 2005

作者： Saito, T Harada, H Komatsu, T Kanagawa Univ High Tech Res Ctr Dept Elect Elect & Informat Eng Yokohama Kanagawa 2218686 Japan

ISBN: (纸本)0819459763

Once image motion is accurately estimated, we can utilize those motion estimates for image sharpening and we can remove motion blurs. First, for the motion de-blurring, this paper presents a model-based PDE method that minimizes the regularized energy functional defined with a spatially variant model of motion blurs. Unlike the case of spatially invariant image blurs, the minimization of the energy functional cannot be achieved in a closed non-iterative way, and we derive its iterative algorithm. The standard regularization method uses a square function to measure energy of its solution function, and employs the energy functional composed of the data-fidelity energy term to measure a deviation of a solution function from the assumed model of motion blurs and the regularization energy term to impose smoothness constraints on a solution function. However, the standard variational method is not proper for the motion de-blurring, because it is sensitive to model errors, and occurrence of errors are inevitable in motion estimation. To improve the robustness against the model errors, we employ a nonlinear robust estimation function for measuring energy to be minimized. Secondly, this paper experimentally compares the model-based PDE method with our previously presented model-free PDE method that does not need any accurate blur model. In the model-error-free case the model-based PDE method outperforms the model-free PDE method, whereas in the model-error case the latter works better than the former.

关键词： image sharpening spatially variant image blur regularization nonlinear algorithm iterative algorithm

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Empirical evaluation of layered video coding schemes

Empirical evaluation of layered video coding schemes

引用

International conference on image processing (ICIP 2001)

作者： Kuhmünch, C Schremmer, C Univ Mannheim Lehrstuhl Prakt Informat 4 Mannheim Germany

ISBN: (纸本)0780367251

Video coding for Internet applications faces major challenges. Due to the heterogeneity of the network, users with very different access bandwidths to the Internet want to receive videos of the best possible quality. A good coding scheme for layered video pursues the following major goal: it maximises the subjective visual quality at a given bandwidth. In this article, we present four different techniques for video layering. The work focuses on an evaluation carried out on 30 test probands. The objective was twofold: finding both a suitable metric for automatic video quality assessment, as well as the best layering technique. The experimental results lead us to pronounce recommendations on the metric for automatic video quality assessment, and on a best video layering technique with regard to human perception.

关键词： image coding

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Comparison of image Features Descriptions for Diagnosis of Leaf Diseases

Comparison of Image Features Descriptions for Diagnosis of L...

引用

Asia-Pacific-Signal-and-Information-processing-Association Annual Summit and conference (APSIPA ASC)

作者： Waqas, Muhammad Fukushima, Norishige Nagoya Inst Technol Nagoya Aichi Japan

ISBN: (纸本)9789881476883

The agricultural industries have always demanded technologies for the automatic discovery and diagnosis of plant diseases with high speed, accuracy, and low cost. Numerous studies have been conducted in response to this demand;however, significant issues remain in most cases where a large-scale dataset of field images is taken with different atmospheric conditions, lighting, scale, and in different directions. The large dataset often causes high computational and storage costs. To overcome this problem, we focus on methods based on efficient invariant image features. These methods are robust against such external factors added during image acquisitions with low computational cost and higher accuracy. We then use a well-known data clustering algorithm k-means to create visual features for lesions. We then create a group of robust visual features (BoVF) using the Term Frequency-Inverse Document Frequency (TF-IDF) weighting scheme that considers the most important visual features in the image for classification. Experimental results classify the BoVF using K-means clustering that categorizes a particular disease in the leaf image into their appropriate group.

关键词： K-means clustering

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Outfit Recommender System 10

Outfit Recommender System

引用

ieee/ACM International conference on Advances in Social Networks Analysis and Mining (ASONAM)

作者： Ramesh, Nikita Moh, Teng-Sheng San Jose State Univ Dept Comp Sci San Jose CA 95192 USA

ISBN: (纸本)9781538660515

The online apparel retail market size in the United States is worth about seventy-two billion US dollars. Recommender systems on retail websites generate a lot of this revenue. Thus, improving recommender systems can increase their revenue. Traditional recommendations for clothes consisted of lexical methods. However, visual-based recommendations have gained popularity over the past few years. This involves processing a multitude of images using different image processing techniques. In order to handle such a vast quantity of images, deep neural networks have been used extensively. With the help of fast Graphics processing Units, these networks provide results which are extremely accurate, within a small amount of time. However, there are still ways in which recommendations for clothes can be improved. We propose an event-based clothing recommender system which uses object detection. We train a model to identify nine events/scenarios that a user might attend: White Wedding, Indian Wedding, conference, Funeral, Red Carpet, Pool Party, Birthday, Graduation and Workout. We train another model to detect clothes out of fifty-three categories of clothes worn at the event. Object detection gives a mAP of 84.01. Nearest neighbors of the clothes detected are recommended to the user.

关键词： Deep neural networks image processing recommender system visual recommendation

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Towards Multimodal Semantic Consistency Analysis of Long Form Articles 5

Towards Multimodal Semantic Consistency Analysis of Long For...

引用

ieee 5th International conference on Multimedia Information processing and Retrieval (MIPR)

作者： Chen, Yuwei Chang, Ming-Ching SUNY Albany Albany NY 12065 USA

ISBN: (数字)9781665495486

ISBN: (纸本)9781665495486

With the rise of misinformation in news sites and social media, multi-modal machine learning methods that can identify fake news by analyzing inconsistencies within the articles have become increasingly important. Current state-of-the-art methods based on traditional image-caption models can only process captions within 1 to 2 sentences. Existing models struggle on analyzing long articles as they were not trained for such purposes. The main limitation is the lack of fine-grained localized evidence needed for consistency detection. We propose an ensemble method combining a bank of visual detectors and BERT-based NLP models that can effectively compute the consistency among the image(s) and paragraph(s) of texts. Our method is effective in both detecting the standard image-caption pairs and longer form news articles. Our method is able to process longer form of multi-modal media via the localization of fine-grained evidence with modularity and explainability. Evaluation is performed on a MS COCO data subset and a news article benchmark of the DARPA SemaFor program. We achieved 83% AUC on the COCO subset as well as a competitive result within the SemaFor evaluation.

关键词： Location awareness visualization Social networking (online) Computational modeling Semantics Machine learning Information processing

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Partial Differential Equation Based ROF filter for MRI Brain images 4

Partial Differential Equation Based ROF filter for MRI Brain...

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4th International conference on Computer Communication and Informatics (ICCCI)

作者： Jansi, S. Subashini, P. Avinashilingam Univ Women Dept Comp Sci Coimbatore 641042 Tamil Nadu India

ISBN: (纸本)9781479923526

image denoising is an important in the field of medical image processing and computer vision. image denoising continues a challenge for researchers because noise removal gives artifacts and the main source for blurring of the images. In this work four different methods are proposed to reduce the image artifacts and noise in the MRI images and also Partial Differential Equations (PDE) is applied to ROF filter to get better results in MRI brain images. The existing methods are compared and estimated based on the error rate and their quality of the image. The efficiency of the proposed denoising technique is measured by using quantitative performance and in terms of visual quality of the images.

关键词： Medical image processing MRI images image denoising Filtering methods Partial differential equation

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