Piotr Pawliczek, Witold Dzwinel, David A. Yuen
Multidimensional scaling (MDS) is a very popular and reliable method used in feature extraction and visualization of multidimensional data. The role of MDS is to reconstruct the topology of an original N-dimensional feature space consisting of M feature vectors in target 2-D (3-D) Euclidean space. It can be achieved by minimization of the error – […]
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M.Chithik Raja
This paper focuses on An Overview of High Performance with GPU and CUDA Media Processing System. The GPU ubiquitous graphics processing unit in every PC, laptop, desktop computer, and workstation. In its most basic form, the GPU generates 2D and 3D graphics, images, and video that enable window based operating systems, graphical user interfaces, video […]
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Changchang Wu, Sameer Agarwal, Brian Curless, Steven M. Seitz
We present the design and implementation of new inexact Newton type Bundle Adjustment algorithms that exploit hardware parallelism for efficiently solving large scale 3D scene reconstruction problems. We explore the use of multicore CPU as well as multicore GPUs for this purpose. We show that overcoming the severe memory and bandwidth limitations of current generation […]
Yuichi Taguchi, Keita Takahashi, Takeshi Naemura
We present a real-time video-based rendering system using a network camera array. Our system consists of 64 commodity network cameras that are connected to a single PC through a Gigabit Ethernet. To render a high-quality novel view, we estimate a view-dependent per-pixel depth map in real-time by using a layered representation. The rendering algorithm is […]
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Stefan K. Gehrig, Clemens Rabe
Among the top-performing stereo algorithms on the Middlebury Stereo Database, Semi-Global Matching (SGM) is commonly regarded as the most efficient algorithm. Consequently, real-time implementations of the algorithm for graphics hardware (GPU) and reconfigurable hardware (FPGA) exist. However, the computation time on general purpose PCs is still more than a second. In this paper, a real-time […]
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Arne Schmitz, Tobias Rick, Thomas Karolski, Torsten Kuhlen, Leif Kobbelt
Conventional beam tracing can be used for solving global illumination problems. It is an efficient algorithm and performs very well when implemented on the GPU. This allows us to apply the algorithm in a novel way to the problem of radio wave propagation. The simulation of radio waves is conceptually analogous to the problem of […]
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Kun Zhou, Minmin Gong, Xin Huang, Baining Guo
We present the first parallel surface reconstruction algorithm that runs entirely on the GPU. Like existing implicit surface reconstruction methods, our algorithm first builds an octree for the given set of oriented points, then computes an implicit function over the space of the octree, and finally extracts an isosurface as a watertight triangle mesh. A […]
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Filippo V. Rossi, Poman P. M. So, Nikolaus Fichtner, Peter Russer
Recent advances in computing technology has brought massively parallel computing power to desktop PCs. As multi-core processor technology becomes mature, a new front in parallel technology based on graphics processors has emerged. A massively parallel 2D-TLM algorithm for NVIDIA advanced graphics processors has been developed. The proposed parallel computing paradigm can be adopted straightforwardly to […]
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Filippo Rossi, Poman P.M. So
Recent advances in graphics computing technology has brought highly parallel processing power to personal computers. This paper reports a hardware-accelerated symmetrical condensed node TLM procedure for the NVIDIA graphics processing units. The procedure has been tested on three NVIDIA processors, from laptop graphics card to workstation graphics processors.
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Ren Yasuda, Takahiro Harada, Yoichiro Kawaguchi
We present a method to compute friction in a particle-based simulation of granular materials on GPUs and its data structure. We use Distinct Element Method to compute the force between particles. There has been a method to accelerate Distinct Element Method using GPUs, but the method does not compute friction. We implemented friction into the […]
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Yuliya Tarabalka, Trym Vegard Haavardsholm, Ingebjorg Kasen, Torbjorn Skauli
Multivariate normal mixture models, where a complex statistical distribution is represented by a weighted sum of several multivariate normal probability distributions, have many potential applications including anomaly detection (AD) in hyperspectral (HS) images. The high computational cost of mixture models requires hardware and/or algorithmic acceleration to make AD run in real time. In this paper […]
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P. De Ruvo, A. Distante, E. Stella, F. Marino
The railway maintenance is a particular application context required in order to prevent any dangerous situation. With the growing of the high-speed railway traffic, automatic inspection systems able to detect rail defects, sleepers’ anomalies, as well as missing fastening elements, become strategic since they could increase the ability in the detection of defects and reduce […]
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