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Parallel collaborative representation for hyperspectral image classification on GPUs

Parallel collaborative representation for hyperspectral imag...

引用

IEEE International symposium on Geoscience and Remote Sensing (IGARSS)

作者： Lucheng Wu Xiaoming Xie Wei Li Qian Du College of Information Science & Technology Beijing University of Chemical Technology Department of Electrical and Computer Engineering Mississippi State University

ISBN: (纸本)9781509033331

Collaborative representation-based classification with distance-weighted Tikhonov regularization (CRT) has offered high accuracy and efficiency. Due to its per-pixel classification nature without a training step, this paper develops a parallel implementation by using compute unified device architecture (CUDA) on graphics processing units (GPUs). To further improve classification accuracy, local binary pattern (LBP) is used for spatial feature extraction, and an unsupervised band selections approach is applied for dimensionality reduction and an optimized collaborative model combining spatial-spectral features is employed. The proposed parallel implementation is able to increase computational efficiency while not degrading classification accuracy when compared with the serial implementations on central processing units (CPUs).

关键词： graphics processing units Cathode ray tubes Hyperspectral imaging Classification algorithms Training Testing Histograms

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Selection of windows for W-operator combination from entropy based ranking 28

Selection of windows for W-operator combination from entropy...

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28th SIBGRAPI Conference on graphics, Patterns and images SIBGRAPI

作者： Dornelles, Marta M. Hirata, Nina S. T. Univ Estadual Santa Cruz Dept Exact & Technol Sci Ilheus BA Brazil Univ Sao Paulo Inst Math & Stat Sao Paulo Brazil

ISBN: (纸本)9781467379625

When training morphological operators that are locally defined with respect to a neighborhood window, one must deal with the tradeoff between window size and statistical precision of the learned operator. More precisely, too small windows result in large restriction errors due to the constrained operator space and, on the other hand, too large windows result in large variance error due to often insufficient number of samples. A two-level training method that combines a number of operators designed on distinct windows of moderate size is an effective way to mitigate this issue. However, in order to train combined operators, one must specify not only how many operators will be combined, but also the windows for each of them. To date, a genetic algorithm that searches for window combinations has produced the best results for this problem. In this work we propose an alternative approach that is computationally much more efficient. The proposed method consists in efficiently reducing the search space by ranking windows of a collection according to an entropy based measure estimated from input-output joint probabilities. Computational efficiency comes from the fact that only few operators need to be trained. Experimental results show that this method produces results that outperform the best results obtained with manually selected combinations and are competitive with results obtained with the genetic algorithm based solution. The proposed approach is, thus, a promising step towards fully automating the process of binary morphological operator design.

关键词： binary image morphological operator design W-operator combination conditional entropy sequential forward selection

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Static Program Analysis for Identifying Energy Bugs in graphics-Intensive Mobile Apps

Static Program Analysis for Identifying Energy Bugs in Graph...

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International symposium on Modeling, Analysis and Simulation of computer and Telecommunication Systems (MASCOTS)

作者： Chang Hwan Peter Kim Daniel Kroening Marta Kwiatkowska Department of Computer Science University of Oxford UK

ISBN: (纸本)9781509034338

A major drawback of mobile devices is limited battery life. Apps that use graphics are especially energy greedy and developers must invest significant effort to make such apps energy efficient. We propose a novel static optimization technique for eliminating drawing commands to produce energy-efficient apps. The key insight we exploit is that the static analysis is able to predict future behavior of the app, and we give three exemplars that demonstrate the value of this approach. Firstly, loop invariant texture analysis identifies repetitive texture transfers in the render loop so that they can be moved out of the loop and performed just once. Secondly, packing identifies images that are drawn together and therefore can be combined into a larger image to eliminate overhead associated with multiple smaller images. Finally, identical frames detection uses a combination of static and dynamic analysis to identify frames that are identical to the previous frame and therefore do not have to be drawn. We implemented the technique against LibGDX, an Android game engine, and evaluated it using open source projects. Our experiments indicate savings up to 44% of the total energy consumption of the device.

关键词： graphics processing units Optimization Games computer bugs Androids Humanoid robots Monitoring

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Fast implementation of Gaussian filter by parallel processing of binominal filter

Fast implementation of Gaussian filter by parallel processin...

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IEEE International symposium on Intelligent Signal processing and Communication Systems (ISPACS)

作者： Takahiro Yano Yoshimitsu Kuroki Kurume College National Institute of Technology Kurume-shi Fukuoka Japan

ISBN: (纸本)9781509006304

Some of image processing techniques including noise reduction and feature extraction are realized by convolving filters designed for various purposes. A Gaussian filter is a smoothing filter, and is used in various applications such as feature point extraction. However, since coefficients of a Gaussian filter are real numbers, which requires a computational burden especially for large deviation filters. This paper describes an approximation of Gaussian filters using multi-layer convolutions of the basic binomial filter, which is implemented only by an addition and a shift operation. This study also aims at fast implementation with a parallel computing of the binomial filters on GPU (Graphical processing Units) under CUDA (Compute Unified Device Architecture) platform introduced by NVIDIA corporation.

关键词： graphics processing units Standards Parallel processing computer architecture Niobium Feature extraction Convolution

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Real time scan conversion implementation for high resolution radars

Real time scan conversion implementation for high resolution...

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International Radar symposium (IRS)

作者： Darwin Leonardo Gómez Pinzón José María Pena Espartero Corporación de Alta Tecnología para la Defensa (CODALTEC) Bogotá Colombia Advanced Radar Technologies S.A. (ART) Madrid Spain

ISBN: (纸本)9781509025190

The real-time presentation of the huge data rate generated by high-resolution radars is a challenging task. Latest developments on commercial-of-the-shelf GPUs for image processing provide a suitable resource to implement specific algorithms to perform the required processing at the required throughput. A real time scan conversion algorithm has been implemented using GPU and parallel CPU processes on a conventional computer. The proposed approach has been validated for real time operation.

关键词： Decision support systems graphics processing units Real-time systems Radar Libraries Geometry Runtime

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A High-Performance image processing DSL for Heterogeneous Architectures 2016

A High-Performance Image Processing DSL for Heterogeneous Ar...

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Proceedings of the 9th European Lisp symposium on European Lisp symposium

作者： Kai Selgrad Alexander Lier Jan Dörntlein Oliver Reiche Marc Marc Stamminger Computer Graphics Group Friedrich-Alexander University Erlangen-Nuremberg Germany Hardware/Software Co-Design Friedrich-Alexander University Erlangen-Nuremberg Germany

ISBN: (纸本)9782955747407

Over the last decade a number of high performance, domainspecific languages (DSLs) have started to grow and help tackle the problem of ever diversifying hard- and software employed in fields such as HPC (high performance computing), medical imaging, computer vision etc. Most of those approaches rely on frameworks such as LLVM for efficient code generation and, to reach a broader audience, take input in C-like form. In this paper we present a DSL for image processing that is on-par with competing methods, yet its design principles are in strong contrast to previous approaches. Our tool chain is much simpler, easing the burden on implementors and maintainers, while our output, C-family code, is both adaptable and shows high performance. We believe that our methodology provides a faster evaluation of language features and abstractions in the domains above.

关键词： Common Lisp Generative Programming Domain Specific Language Meta Programming

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Panoramic image mosaic based on SURF algorithm using OpenCV 9

Panoramic Image mosaic based on SURF algorithm using OpenCV

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IEEE 9th International symposium on Intelligent Signal processing (WISP)

作者： Wang, Jiaxi Watada, Junzo Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Fukuoka 8080135 Japan

ISBN: (纸本)9781479972524

Panoramic image mosaic is a technology to match a series of images which are overlapped with each other. Panoramic image mosaics can be used for different applications. image mosaic has important values in various applications such as photogrammetry, computer vision, remote sensing image processing, medical image analysis and computer graphics. image mosaics also can be used in moving object detection with a dynamic camera. After getting the panoramic background of the video for detection, we can compare every frame in the video with the panoramic background, and finally detect the moving object. To build the image mosaic, SURF (Speeded Up Robust Feature) algorithm is used in feature detection and OpenCV is used in the programming.

关键词： computer graphics

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Fast spatial-spectral preprocessing for endmember extraction and spectral unmixing using graphic processing units

Fast spatial-spectral preprocessing for endmember extraction...

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IEEE International symposium on Geoscience and Remote Sensing (IGARSS)

作者： L. I. Jiménez G. Martín S. Sánchez J. Plaza A. Plaza Hyperspectral Computing Laboratory University of Extremadura Cáceres Spain Instituto de Telecomunicações Lisbon Portugal

ISBN: (纸本)9781509033331

Linear spectral unmixing consists on the identification of spectrally pure constituents, called endmembers and their corresponding proportions or abundances using a linear model. Traditionally, most of the attention has been focussed on the exploitation of spectral information when identifying a set of endmembers and, only recently, some techniques try to take advantage of complementary information such as the one provided by the spatial correlation of the pixels in the image. Computational complexity represents a major problem in most of these spatial-spectral based techniques, as hyperspectral images provide very rich information in both the spatial and the spectral domain. In this paper we provide a computationally efficient implementation of a spatial-spectral processing (SSPP) algorithm which can be used prior to endmember identification and spectral unmixing. Specifically we present an implementation optimized for commodity graphics processing units (GPUs), which is evaluated using two different GPU architectures from NVidia: GeForce GTX580 and GeForce GT740. Our experimental validation reveals that significant speedups can be achieved when processing hyperspectral images of different sizes.

关键词： graphics processing units Hyperspectral imaging Indexes Kernel Algorithm design and analysis computers computer architecture

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Countermeasure for electromagnetic information leakage of digital video cable

Countermeasure for electromagnetic information leakage of di...

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Asia-Pacific symposium on Electromagnetic Compatibility (APEMC)

作者： Sen Wang Yang Qiu Jin Tian Qinglin Xu School of Electromechanical Engineering Xidian University Xi'an China

Electromagnetic radiation of PC contains video information, and the image can be reconstructed. It is well known after the Van Eck's paper. The video cable used to connect the display with the graphics controller turned out to be the primary source of the leaking signal. For digital video interface, not all kinds of color images can be intercepted and reconstructed. Firstly we analyzed which color image can be reconstructed based the digital interface standards. Then we propose a method that changes the original PGB signals to safety color, while keeping the quality of the image by using the characteristics of the human visual and color mixing. By implementing this method on FPGA board in an ordinary computer system, we confirmed the effectiveness of our method as a countermeasure for the electromagnetic video information leakage.

关键词： image reconstruction Information processing Cable TV image color analysis Encoding computers Field programmable gate arrays

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Evaluating visual ADAS components on the COnGRATS dataset

Evaluating visual ADAS components on the COnGRATS dataset

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IEEE symposium on Intelligent Vehicle

作者： Daniel Biedermann Matthias Ochs Rudolf Mester Visual Sensorics & Information Processing Lab Goethe University Frankfurt am Main Germany ISY Linköping University Sweden

ISBN: (纸本)9781509018222

We present a framework that supports the development and evaluation of vision algorithms in the context of driver assistance applications and traffic surveillance. This framework allows the creation of highly realistic image sequences featuring traffic scenarios. The sequences are created with a realistic state of the art vehicle physics model; different kinds of environments are featured, thus providing a wide range of testing scenarios. Due to the physically-based rendering technique and variable camera models employed for the image rendering process, we can simulate different sensor setups and provide appropriate and fully accurate ground truth data.

关键词： Vehicles Rendering (computer graphics) Cameras Three-dimensional displays Lighting Roads Engines

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