In this paper we propose a new and efficient texture feature extraction method: the Segmentation-based Fractal Texture Analysis, or SFTA. The extraction algorithm consists in decomposing the input image into a set of ...
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The article describes the first steps to achieve control over a robotic or prosthetic arm based on analysis of visual environment acquired in real-time by video cameras on glasses and on the prosthesis. One of the mai...
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ISBN:
(纸本)9781728100739
The article describes the first steps to achieve control over a robotic or prosthetic arm based on analysis of visual environment acquired in real-time by video cameras on glasses and on the prosthesis. One of the main goals of the research is to develop a wearable, portable, lightweight, and low power consumption device for visual scene analysis. This paper will discuss the critical steps of its implementation on an FPGA board. We implemented some time-consuming parts of the SIFT algorithm needed for the analysis in C/C++ language on TUL PYNQ-Z2 FPGA board. This implementation allows for a low power consumption of the programmable logic part of the system. The obtained value is 0.274W. processing capacity is 96.45 images per second on a small wearable size device which allow for the real-time implementation of the whole analysis in the future.
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Monte Carlo (MCMC) simulations are widely ...
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ISBN:
(纸本)9781424416936
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Monte Carlo (MCMC) simulations are widely used for approximate counting problems, Bayesian inference and as a means for estimating very high-dimensional integrals. As such MCMC has found a wide variety of applications in fields including computational biology and physics, financial econometrics, machine learning andimageprocessing. This paper presents a new method for reducing the run-time of Markov Chain Monte Carlo simulations by using SMP machines to speculatively perform iterations in parallel, reducing the runtime of MCMC programs whilst producing statistically identical results to conventional sequential implementations. We calculate the theoretical reduction in runtime that may be achieved using our technique under perfect conditions, and test and compare the method on a selection of multi-core and multi-processor architectures. Experiments are presented that show reductions in runtime of 35% using two cores and 55% using four cores.
This paper presents a methodology for creating 3D non-structured meshes for industrial applications, which honor all the boundaries of the domain. The input for the system is a multi-region 3D non-manifold model, poss...
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Transactional Memory is currently being advocated as a promising alternative to lock-based synchronization because it simplifies multithreaded programming. In this way, future many-core CMP architectures may need to p...
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Frequent itemset mining (FIM) is a core operation for several data mining applications as association rules computation, correlations, document classification, and many others, which has been extensively studied over ...
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Models of the real world are at least 3-dimensional and require the technologies of imageprocessing andcomputergraphics. We see the processing of images, be they of the real world or of models in a computer, as one...
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ISBN:
(纸本)9539676924
Models of the real world are at least 3-dimensional and require the technologies of imageprocessing andcomputergraphics. We see the processing of images, be they of the real world or of models in a computer, as one and the same basic technology, namely "digital visual information processing". This paper seeks to illustrate and justify this point-of-view by means of examples taken mostly from the work at the author's institute.
Accuracy in image object detection has been usually achieved at the expense of much computational load. Therefore a trade-off between detection performance and fast execution commonly represents the ultimate goal of a...
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In this study, we developed a system for mobile devices designed to provide a virtual experience of past scenery depicted in old photographs by superimposing them on landscapes in video see-through frames. A user is a...
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ISBN:
(纸本)9781479917273
In this study, we developed a system for mobile devices designed to provide a virtual experience of past scenery depicted in old photographs by superimposing them on landscapes in video see-through frames. A user is asked to capture a photograph of a landscape to be used as a keyframe and enter correspondence points between the new and old photos. The old photograph is deformed by projective transform with homography computed based on correspondence points. We then superimpose of the old photograph onto video see-through frames of current landscape. To achieve real-time and robust superimposition on mobile devices, both motion-sensor-based pose information and camera-image-keypoint-tracking-based pose information is used for device's camera pose tracking.
The use of computational techniques in the processing of histopathological images allows the study of the structural organization of tissues and their pathological changes. The overall objective of this work includes ...
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