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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

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High performance GPGPU based system for matching people in a live video feed

High performance GPGPU based system for matching people in a...

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3rd international conference on image processing Theory, Tools and Applications (IPTA)

作者： Bosek, Bartlomiej Horwath, Leszek Matecki, Grzegorz Pawlik, Arkadiusz Jagiellonian Univ Fac Math & Comp Sci Theoret Comp Sci Dept PL-30348 Krakow Poland

ISBN: (纸本)9781467325851;9781467325837

One of the key problems of computer vision and automated surveillance is to determine if two snapshots of objects in a video feed correspond to the same real one. In this paper we propose an efficient GPGPU based system for short-term matching of people in a video feed. The main contributions of our approach consist of image enhancement techniques, data preprocessing methods based on statistical sampling combined with local algorithms for finding Voronoi diagrams and efficient similarity metric based on non crossing maximum matchings in weighted graphs. Our algorithms, thanks to their local nature, are easily parallelized. We propose an implementation on GPGPU that allows real time computation in reasonable circumstances. Achieved results show that described algorithms may be used in a variety of contexts.

关键词： image processing theory computer vision GPGPU Surveillance systems image enhancement techniques

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Mouse Neuroimaging Phenotyping in the Cloud

Mouse Neuroimaging Phenotyping in the Cloud

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3rd international conference on image processing Theory, Tools and Applications (IPTA)

作者： Minervini, Massimo Damiano, Mario Tucci, Valter Bifone, Angelo Gozzi, Alessandro Tsaftaris, Sotirios A. IMT Inst Adv Studies Lucca Lucca Italy

ISBN: (纸本)9781467325851;9781467325837

The combined use of mice that have genetic mutations (transgenic mouse models) of human pathology and advanced neuroimaging methods (such as MRI) has the potential to radically change how we approach disease understanding, diagnosis and treatment. Morphological changes occurring in the brain of transgenic animals as a result of the interaction between environment and genotype, can be assessed using advanced image analysis methods, an effort described as "mouse brain phenotyping". However, the computational methods required for the analysis of high-resolution brain images are demanding. In this paper, we propose a computationally effective cloud-based implementation of morphometric analysis of high-resolution mouse brain datasets. We show that the proposed approach is highly scalable and suited for a variety of methods for MR-based brain phenotyping. The proposed approach is easy to deploy, and could become an alternative for laboratories that may require instant access to large high performance computing infrastructure.

关键词： High performance computing cloud neuroimaging MRI phenotyping computer vision image analysis

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Real-time 3D Skeletonisation in computer vision-Based Human Pose Estimation Using GPGPU

Real-time 3D Skeletonisation in Computer Vision-Based Human ...

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3rd international conference on image processing Theory, Tools and Applications (IPTA)

作者： Bakken, Rune Havnung Eliassen, Lars Moland Sor Trondelag Univ Coll Fac Informat & E Learning Trondheim Norway

ISBN: (纸本)9781467325851;9781467325837

Human pose estimation is the process of approximating the configuration of the body's underlying skeletal articulation in one or more frames. The curve-skeleton of an object is a line-like representation that preserves topology and geometrical information. Finding the curve-skeleton of a volume corresponding to the person is a good starting point for approximating the underlying skeletal structure. In this paper a GPU implementation of a fully parallel thinning algorithm based on the critical kernels framework is presented. The algorithm is compared to another state-of-the-art thinning method, and while it is demonstrated that both achieve real-time frame rates, the proposed algorithm yields superior accuracy and robustness when used in a pose estimation context. The GPU implementation is > 8 x faster than a sequential version, and the positions of the four extremities are estimated with rms error similar to 6 cm and similar to 98 % of frames correctly labelled.

关键词： Skeletonisation GPGPU Real-time Human Motion Analysis

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On Order-Independent Sequential Thinning

On Order-Independent Sequential Thinning

引用

3rd IEEE international conference on Cognitive Infocommunications (CogInfoCom)

作者： Kardos, Peter Palagyi, Kalman Univ Szeged Dept Image Proc & Comp Graph Szeged Hungary

ISBN: (纸本)9781467351881;9781467328913

The visual world composed by the human and computational cognitive systems strongly relies on shapes of objects. Skeleton is a widely applied shape feature that plays an important role in many fields of image processing, pattern recognition, and computer vision. Thinning is a frequently used, iterative object reduction strategy for skeletonization. Sequential thinning algorithms, which are based on contour tracking, delete just one border point at a time. Most of them have the disadvantage of order-dependence, i.e., for dissimilar visiting orders of object points, they may generate different skeletons. In this work, we give a survey of our results on order-independent thinning: we introduce some sequential algorithms that produce identical skeletons for any visiting orders, and we also present some sufficient conditions for the order-independence of template-based sequential algorithms.

关键词： Cognitive Systems Skeleton Sequential Thinning Order-Independence Digital Topology

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Theoretical Foundations of Gaussian Convolution by Extended Box Filtering

Theoretical Foundations of Gaussian Convolution by Extended ...

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3rd international conference on Scale Space and Variational Methods in computer vision

作者： Gwosdek, Pascal Grewenig, Sven Bruhn, Andres Weickert, Joachim Univ Saarland Math Image Anal Grp Dept Math & Comp Sci Campus E1-1 D-66041 Saarbrucken Germany Saarland Univ Vision Image Process Grp Cluster Excellence Multimodal Compt Interact Saarbrucken Germany

ISBN: (纸本)9783642247842

Gaussian convolution is of fundamental importance in linear scale-space theory and in numerous applications. We introduce iterated extended box filtering as an efficient and highly accurate way to compute Gaussian convolution. Extended box filtering approximates a continuous box filter of arbitrary non-integer standard deviation. It provides a much better approximation to Gaussian convolution than conventional iterated box filtering. Moreover, it retains the efficiency benefits of iterated box filtering where the runtime is a linear function of the image size and does not depend on the standard deviation of the Gaussian. In a detailed mathematical analysis, we establish the fundamental properties of our approach and deduce its error bounds. An experimental evaluation shows the advantages of our method over classical implementations of Gaussian convolution in the spatial and the Fourier domain.

关键词： Gaussian scale-space box filter image processing computer vision

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An Online Visual Inspection System for Oil-Seal Dimension

An Online Visual Inspection System for Oil-Seal Dimension

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3rd international conference on Mechanical and Electronics Engineering (ICMEE 2011)

作者： Wu Zhang-liang Sun Chang-ku Liu Jie Tianjin Univ State Key Lab Precis Measuring Technol & Instrume Tianjin 300072 Peoples R China Zhengzhou Univ Light Ind Coll Elect Mech Engn Zhengzhou Peoples R China

ISBN: (纸本)9783037852866

Adoption of machine vision inspection and computer image processing technology, an oil-seal dimension measuring system was developed to meet the requirement of online production and real time inspection. The makeup and principle of the system were introduced, as well as its working process and design requirements were described on detailed. The technique of quadratic filtering for image preprocessing combined with the principle of three points determining a circle, point Hough transform and the least squares was employed for image processing algorithm, and high precision sub-pixel edge detection was achieved. The measuring results of experiments demonstrated that the inspection goal on 100 percents of products could be realized successfully, and with many advantages such as non-contact, on-line, real time, appropriate precision and low cost, the system can be applied widely in other production fields.

关键词： Dimension Machine vision Online inspection image processing

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vision Based Facial Action Recognition System for People with Disabilities

Vision Based Facial Action Recognition System for People wit...

引用

3rd international conference on Information Technologies in Biomedicine (ITIB)

作者： Przybylo, Jaromir AGH Univ Sci & Technol PL-30059 Krakow Poland

ISBN: (纸本)9783642311963

Human-computer interaction (HCI) is an emerging field of science aimed at providing natural ways for humans to use computers. There are various approaches to build mouse alternatives. Unfortunatelly, many existing solutions are not designed for people with severe physical disabilities. he work presented here is part of the larger project and focusses on facial action recognition framework and its components. It uses only optical observation - camera and image analysis and recognition algorithms. Proposed system gives possibility to serve the special needs of people with various disabilities, especially to use computers and possibly other devices. Consequently, in our opinion, it can offer disabled people access to a wide range of services which help them to participate more fully in society.

关键词： human-computer interaction facial action recognition image and video processing assisted living technologies

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Classification of Rice Appearance Quality Based on LS-SVM Using Machine vision 1

引用

3rd international conference on Information Computing and Applications (ICICA 2012)

作者： Chen, Xiai Ke, Shuang Wang, Ling Xu, Hong Chen, Wenquan China Jiliang Univ Sch Mech & Elect Engn Hangzhou Zhejiang Peoples R China Zhejiang Econ & Trade Polytechn Hangzhou Zhejiang Peoples R China

ISBN: (数字)9783642340383

ISBN: (纸本)9783642340376

machine vision system was developed for rice quality detection in this paper. The main characteristics of rice appearance including area, perimeter, roughness and minimum enclosing rectangle were calculated by image analysis. The Least Squares Support Vector Machines was applied for the classification of head rice and broken rice. Genetic algorithm was used to optimize the parameters values of Least Squares Support Vector Machines. The robustness of this classification method was testified, and the experiment result shows that the head rice and broken rice can be effectively identified by Least Squares Support Vector Machines using machine vision.

关键词： Rice LS-SVM GA Machine vision Appearance quality image processing

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Research on Experiment and Technique of Material Identification for Debris of Engineering Equipment based on computer vision

Research on Experiment and Technique of Material Identificat...

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3rd international conference on Manufacturing Science and Engineering (ICMSE 2012)

作者： Tu, Qunzhang Pan, Ming Zhao, Jianxun Su, Dazhen Wang, GuoTao PLA Univ Sci & Technol Engn Inst Engn Corps Nanjing 210007 Jiangsu Peoples R China

ISBN: (纸本)9783037853726

Based on micro-image, the material identification of iron and copper debris in working oil of engineering equipment is researched. By selecting four characteristic parameters of debris image, a debris recognition classifier is designed based on multi-SVM. The materials and types of debris can be fast identified after the model is trained and the identification accuracy is high, thus a new method for fault diagnosis of engineering equipment is provided.

关键词： image processing Support Vector Machine Material Identification

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Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization

Either Fit to Data Entries or Locally to Prior: The Minimize...

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3rd international conference on Scale Space and Variational Methods in computer vision

作者： Nikolova, Mila CMLA CNRS ENS Cachan UniverSud F-94235 Cachan France

ISBN: (纸本)9783642247842

We investigate coercive objective functions composed of a data-fidelity term and a regularization term. Both of these terms are non differentiable and non convex, at least one of them being strictly non convex. The regularization term is defined on a class of linear operators including finite differences. Their minimizers exhibit amazing properties. Each minimizer is the exact solution of an (overdetermined) linear system composed partly of linear operators from the data term, partly of linear operators involved in the regularization term. This is a strong property that is useful when we know that some of the data entries are faithful and the linear operators in the regularization term provide a correct modeling of the sought-after image or signal. It can be used to tune numerical schemes as well. Beacon applications include super resolution, restoration using frame representations, inpainting, morphologic component analysis, and so on. Various examples illustrate the theory and show the interest of this new class of objectives.

关键词： image processing Inverse problems Non-smooth analysis Non-convex analysis Regularization Signal processing Variational methods

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