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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems III"

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Mobile Smartphone-based Augmented Reality for Industry Remote Monitoring and Maintenance 3

Mobile Smartphone-based Augmented Reality for Industry Remot...

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conference on Unconventional Optical Imaging iii Part of SPIE Photonics Europe conference

作者： Naumov, I Sinakin, M. Semenishchev, E. Gapon, N. Don State Tech Univ Rostov Na Donu Russia LLC DAR Rostov Na Donu Russia Moscow State Univ Technol STANKIN Ctr Cognit Technol & Machine Vis Moscow Russia

ISBN: (纸本)9781510651494;9781510651487

Currently, VR and AR headsets are becoming widespread. In addition to entertainment purposes, these technologies are increasingly being used in education, science, medicine, and engineering. The remote maintenance monitoring technologies make it possible to significantly expand the possibilities of using services for remote maintenance and repair complex technical systems by highly qualified specialists. However, the problems of implementing such systems in a wide range of tasks are complicated by the presence of a wide variety of solutions of this kind and the high price of such models. In this paper, we investigate a new smartphone-based augmented reality device for industrial tasks. The article describes augmented reality glasses based on a mobile phone (system "DAR"), which combines the functions of VR and AR technologies and a low cost of the final product. The proposed solution combines a helmet with a smartphone, which transmits information about the surrounding space and connects the augmented reality elements built on this image. Information about the surrounding space comes to the smartphone screen from stereo cameras equipped with autofocus. images captured in such a system suffer from low contrast and faint color. We present a new image enhancement algorithm based on multi-scale block-rooting processing. This solution makes it possible to expand AR technology scope for remote maintenance of complex technical systems by highly qualified specialists at remote sites since using a smartphone and a DAR headset will be sufficient. Some experimental results are presented to illustrate the performance of the proposed algorithm on the real and synthesized image datasets.

关键词： augmented reality glasses DAR VR and AR technologies stereo camera image enhancement

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A new approach to limited angle tomography using the compressed sensing framework

A new approach to limited angle tomography using the compres...

引用

conference on Medical Imaging - Physics of Medical Imaging

作者： Ritschl, Ludwig Bergner, Frank Kachelriess, Marc Univ Erlangen Nurnberg IMP D-91052 Erlangen Germany

ISBN: (纸本)9780819480231

The limited angle problem is a well-known problem in computed tomography. It is caused by missing data over a certain angle interval, which make an inverse Radon transform impossible. In daily routine this problem can arise for example in tomosynthesis, C-arm CT or dental CT. In the last years there has been a big development in the field of compressed sensing algorithms in computed tomography, which deal very good with incomplete data. The most popular way is to integrate a minimal total variation norm in form of a cost function into the iteration process. To find an exact solution of such a constrained minimization problem, computationally very demanding higher order algorithms should be used. Due to the non perfect sparsity of the total variation representation, reconstructions often show the so called staircase effect. The method proposed here uses the solutions of the iteration process as an estimation for the missing angle data. Compared to a pure compressed sensing-based algorithm we reached much better results within the same number of iterations and could eliminate the staircase effect. The algorithm is evaluated using measured clinical datasets.

关键词： image segmentation Reconstruction algorithms image processing algorithms and systems Compressed sensing Computed tomography Data analysis Tomography Algorithm development Radon transform Bone

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Fast dense stereo correspondences by binary locality sensitive hashing

Fast dense stereo correspondences by binary locality sensiti...

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2015 IEEE International conference on Robotics and Automation, ICRA 2015

作者： Heise, Philipp Jensen, Brian Klose, Sebastian Knoll, Alois Robotics and Embedded Systems Department of Informatics Technische Universität München Garching85748 Germany

ISBN: (纸本)9781479969234

The stereo correspondence problem is still a highly active topic of research with many applications in the robotic domain. Still many state of the art algorithms proposed to date are unable to reasonably handle high resolution images due to their run time complexities or memory requirements. In this work we propose a novel stereo correspondence estimation algorithm that employs binary locality sensitive hashing and is well suited to implementation on the GPU. Our proposed method is capable of processing very high-resolution stereo images at near real-time rates. An evaluation on the new Middlebury and Disney high-resolution stereo benchmarks demonstrates that our proposed method performs well compared to existing state of the art algorithms. © 2015 IEEE.

关键词： Stereo image processing

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Tools for Dynamic Network Structures: GRAPE Grammars

Tools for Dynamic Network Structures: GRAPE Grammars

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1992 International Joint conference on Neural Networks, IJCNN 1992

作者： Freund, Rudolf Haberstroht, Brigitte Bischof, Horst Technical University of Vienna Karlsplatz 13 Vienna1040 Austria Institute for Computer Languages Technical University of Vienna Austria Institute for Information Systems Technical University of Vienna Austria Institute for Pattern Recognition and Image Processing Technical University of Vienna Austria

ISBN: (纸本)0780305590

Dynamic neural networks are able to alter the topology of the underlying graph in order to provide better performance. A lot of interesting algorithms for topology learning have been published, but no formal description method is available. We propose a unique theoretical framework which is based on "attributed elementary programmed graph grammars"(GRAPE grammars) and which turns out to be equally well suited for describing network dynamics, weight learning algorithms, and topology learning algorithms. We show how GRAPE grammars can be used to model neural networks. Special emphasis is devoted to topology learning. © 1992 IEEE.

关键词： Learning algorithms

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Reconfigurable Real-Time Distributed processing Network

Reconfigurable Real-Time Distributed Processing Network

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conference on the Geospatial InfoFusion systems and Solutions for Defense and Security Applications

作者： Page, S. F. Seely, R. D. Hickman, D. Waterfall Solut Ltd Guildford Surrey England

ISBN: (纸本)9780819486271

This paper describes a novel real-time image and signal processing network, RONIN (TM), which facilitates the rapid design and deployment of systems providing advanced geospatial surveillance and situational awareness capability. RONIN (TM) is a distributed software architecture consisting of multiple agents or nodes, which can be configured to implement a variety of state-of-the-art computer vision and signal processing algorithms. The nodes operate in an asynchronous fashion and can run on a variety of hardware platforms, thus providing a great deal of scalability and flexibility. Complex algorithmic configuration chains can be assembled using an intuitive graphical interface in a plug-and-play manner. RONIN (TM) has been successfully exploited for a number of applications, ranging from remote event detection to complex multiple-camera real-time 3D object reconstruction. This paper describes the motivation behind the creation of the network, the core design features, and presents details of an example application. Finally, the on-going development of the network is discussed, which is focussed on dynamic network reconfiguration. This allows to the network to automatically adapt itself to node or communications failure by intelligently re-routing network communications and through adaptive resource management.

关键词： Geospatial systems distributed processing contextual reference dynamic reconfiguration situational awareness

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A NEW AUTOMATIC SYNTHETIC APERTURE RADAR-BASED FLOOD MAPPING APPLICATION HOSTED ON THE EUROPEAN SPACE AGENCY'S GRID processing ON DEMAND FAST ACCESS TO IMAGARY ENVIRONMENT

A NEW AUTOMATIC SYNTHETIC APERTURE RADAR-BASED FLOOD MAPPING...

引用

conference on Earth Resources and Environmental Remote Sensing/GIS Applications iii

作者： Matgen, Patrick Giustarini, Laura Hostache, Renaud Ctr Rech Publ Gabriel Lippmann Dept Environm & Agrobiotechnol Belvaux Luxembourg

ISBN: (纸本)9780819492784

This paper introduces an automatic flood mapping application that is hosted on the Grid processing on Demand (G-POD) Fast Access to imagery (Faire) environment of the European Space Agency. The main objective of the online application is to deliver operationally flooded areas using both recent and historical acquisitions of SAR data. Having as a short-term target the flooding-related exploitation of data generated by the upcoming ESA SENTINEL-1 SAR mission, the flood mapping application consists of two building blocks: i) a set of query tools for selecting the "crisis image" and the optimal corresponding "reference image" from the G-POD archive and ii) an algorithm for extracting flooded areas via change detection using the previously selected "crisis image" and "reference image". Stakeholders in flood management and service providers are able to log onto the flood mapping application to get support for the retrieval, from the rolling archive, of the most appropriate reference image. Potential users will also be able to apply the implemented flood delineation algorithm. The latter combines histogram thresholding, region growing and change detection as an approach enabling the automatic, objective and reliable flood extent extraction from SAR images. Both algorithms are computationally efficient and operate with minimum data requirements. The case study of the high magnitude flooding event that occurred in July 2007 on the Severn River, UK, and that was observed with a moderate-resolution SAR sensor as well as airborne photography highlights the performance of the proposed online application. The flood mapping application on G-POD can be used sporadically, i. e. whenever a major flood event occurs and there is a demand for SAR-based flood extent maps. In the long term, a potential extension of the application could consist in systematically extracting flooded areas from all SAR images acquired on a daily, weekly or monthly basis.

关键词： Synthetic Aperture Radar flood mapping hydrology

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Augmenting graph cut with TV-L1 approach for robust stereo matching

Augmenting graph cut with TV-L1 approach for robust stereo m...

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2011 International conference on image Information processing, ICIIP 2011

作者： Jama, Arshad Rakshit, Subrata Centre for AI and Robotics Bangalore India

ISBN: (纸本)9781612848617

Stereo matching plays a significant role in various vision based systems including 3D reconstruction, robot localization, mapping and navigation and it has been an intense area of research for many years. In the last decade, with the increase in processing power and reduction in the camera cost, the stereo systems have found many new applications. In this paper, we present a stereo matching algorithm which computes the disparities with sub-pixel accuracy. The proposed method combines graph cut based stereo matching method with total variation approach to achieve improved accuracy. We demonstrate the robust performance of the algorithm on the large scale Middlebury benchmark. The algorithm has also been tested on real data and the results compare favorably with the similar category state-of-the-art algorithms. © 2011 IEEE.

关键词： Stereo image processing

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The German Traffic Sign Recognition Benchmark: A multi-class classification competition

The German Traffic Sign Recognition Benchmark: A multi-class...

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International Joint conference on Neural Networks (IJCNN)

作者： Stallkamp, Johannes Schlipsing, Marc Salmen, Jan Igel, Christian Ruhr Univ Bochum Inst Neuroinformat D-44780 Bochum Germany Univ Copenhagen Dept Comp Sci DK-2100 Copenhagen Denmark

ISBN: (纸本)9781424496365

The "German Traffic Sign Recognition Benchmark" is a multi-category classification competition held at IJCNN 2011. Automatic recognition of traffic signs is required in advanced driver assistance systems and constitutes a challenging real-world computer vision and pattern recognition problem. A comprehensive, lifelike dataset of more than 50,000 traffic sign images has been collected. It reflects the strong variations in visual appearance of signs due to distance, illumination, weather conditions, partial occlusions, and rotations. The images are complemented by several precomputed feature sets to allow for applying machine learning algorithms without background knowledge in image processing. The dataset comprises 43 classes with unbalanced class frequencies. Participants have to classify two test sets of more than 12,500 images each. Here, the results on the first of these sets, which was used in the first evaluation stage of the two-fold challenge, are reported. The methods employed by the participants who achieved the best results are briefly described and compared to human traffic sign recognition performance and baseline results.

关键词： Benchmark testing German Traffic Sign Recognition Benchmark Histograms Humans image color analysis image resolution Lead Training computer vision computer vision driver assistance system driver information systems image classification image processing learning (artificial intelligence) machine learning algorithm multiclass classification competition pattern recognition problem traffic engineering computing

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An image Enhancement Optimization Method Based on Differential Evolution Algorithm and Cuckoo Search Through Serial Coupled Mode 10

An Image Enhancement Optimization Method Based on Differenti...

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10th IEEE International conference on Intelligent Data Acquisition and Advanced Computing systems - Technology and Applications (IDAACS)

作者： Ye, Zhiwei Cao, Ye Zhang, Aixin Jin, Can Ma, Lie Hu, Xiang Hu, Jiwei Hubei Univ Technol Wuhan Peoples R China Wuhan Jizhi Technol Co LTD Wuhan Peoples R China Wuhan Fiberhome Tech Serv Co Ltd Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781728140681

image enhancement based on Beta function is a widely used method for it is able to fit multiple transformation curves, which is a significant step for image analysis. The key step for the method is to find the appropriate parameters to determine the grayscale transformation function. However, it needs a lot of time to seek applicable parameters when enumeration is used and random optimization algorithms often have failures within a limited time and are prone to fall into the local optimum. In order to solve the problems a serial coupled mode of stochastic optimization algorithms is investigated in the paper. According to the model, the differential evolution algorithm and cuckoo search algorithm are tried in image enhancement through serial coupling mode and compared with the traditional optimization algorithm. The experimental results reveals that the proposed approach is feasible and the performance is more balanced, which has a good performance on the image enhancement.

关键词： image Enhancement Hybrid algorithm Differential Evolution Algorithm Cuckoo search Algorithm

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Predicting Exploitation Success on Compressed imagery through Common image Quality Metrics: An Initial Look 6

Predicting Exploitation Success on Compressed Imagery throug...

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conference on Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI

作者： McGuinness, Christopher D. Hytla, Patrick C. Priddy, Kevin L. Univ Dayton Res Inst Dayton OH 45469 USA Air Force Life Cycle Management Ctr Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781628415803

imagery from unmanned aerial systems (UAS) needs compression prior to transmission to a receiver for further processing. Once received, automated image exploitation algorithms, such as frame-to-frame registration, target tracking, and target identification, are performed to extract actionable information from the data. Unfortunately, in a compress-then-analyze system, exploitation algorithms must contend with artifacts introduced by lossy compression and transmission. Identifying metrics that enable compression engines to predict exploitation degradation could allow encoders the ability of tailoring compression for specific exploitation algorithms. This study investigates the impact of H.264 and JPEG2000 compression on target tracking through the use of a multi-hypothesis blob tracker. Used quality metrics include PSNR, VIF, and IW-SSIM.

关键词： Compression blob detection H.264 JPEG2000 quality tracking

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