88 research outputs found

    Time of Flight Image Segmentation through Co-Regularized Spectral Clustering

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    Time of Flight (TOF) cameras generate two simultaneous images, one for intensity and one for range. This allows tackling segmentation problems where the information pertaining to intensity or range alone is not enough to extract objects of interest from a 3D scene. In this paper, we present a spectral segmentation method that combines information from both images. By modifying the affinity matrix of each of the images based on the other, the segmentation of objects in the scene is improved. The proposed method exploits two mechanisms, one for reducing the computational demand when calculating the eigenvectors for each matrix, and another for improving segmentation performance. The experimental results obtained with two sets of real images are presented and used to assess the proposed method.Publicado en Feierherd, Guillermo; Pesado, Patricia; Spositto, Osvaldo (eds.). Computer Science & Technology Series. XX Argentine Congress of Computer Science. Selected papers. La Plata, Editorial de la Universidad Nacional de La Plata, 2015.Red de Universidades con Carreras en Inform谩tica (RedUNCI

    Time of Flight Image Segmentation through Co-Regularized Spectral Clustering

    Get PDF
    Time of Flight (TOF) cameras generate two simultaneous images, one for intensity and one for range. This allows tackling segmentation problems where the information pertaining to intensity or range alone is not enough to extract objects of interest from a 3D scene. In this paper, we present a spectral segmentation method that combines information from both images. By modifying the affinity matrix of each of the images based on the other, the segmentation of objects in the scene is improved. The proposed method exploits two mechanisms, one for reducing the computational demand when calculating the eigenvectors for each matrix, and another for improving segmentation performance. The experimental results obtained with two sets of real images are presented and used to assess the proposed method.Publicado en Feierherd, Guillermo; Pesado, Patricia; Spositto, Osvaldo (eds.). Computer Science & Technology Series. XX Argentine Congress of Computer Science. Selected papers. La Plata, Editorial de la Universidad Nacional de La Plata, 2015.Red de Universidades con Carreras en Inform谩tica (RedUNCI

    ROC performance evaluation of RADSPM technique

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    The purpose of Functional Magnetic Resonance Imaging (fMRI) is to map areas of increased neuronal activity of the human brain. fMRI has been applied to investigate a variety of neuronal processes from activities in the primary sensory and motor cortices to cognitive functions such as perception or learning. Robust anisotropic diffusion of statistical parametric maps (RADSPM) is a new technique to improve functional Magnetic Resonance Imaging. RADSPM attempts to improve voxel classification based on robust anisotropic diffusion (RAD) to include the spatial relationship between active voxels. This paper compares two fMRI postprocessing techniques used to identify areas of increased neuronal activity, a widely used method, correlation analysis, and RADSPM. In recent years, the use of ROC analysis has been extended from its original use in communication systems to machine learning, pattern classification and fMRI. We proposed to use ROC curves and the area under the curve (AUC) not only as a final performance evaluation and visualizing technique but as a gauging parameter procedure in RADSPM. We give a brief review of the main methods and conclude presenting experimental results and suggesting further research alternatives.Workshop de Computaci贸n Gr谩fica, Im谩genes y Visualizaci贸n (WCGIV)Red de Universidades con Carreras en Inform谩tica (RedUNCI

    Segmentaci贸n espectral de im谩genes utilizando camaras de tiempo de vuelo

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    En este art铆culo se presenta un m茅todo de segmentaci贸n aplicable a im谩genes adquiridas con c谩maras de tiempo de vuelo (TOF). Las c谩maras TOF generan dos im谩genes simultaneas, una de intensidad y una de rango. El m茅todo propuesto modela ambas im谩genes mediante una matriz de unidad independiente para cada imagen. Transformando la imagen de rango y utilizando el criterio de cortes normalizados se optimiza la segmentaci贸n de los objetos de inter茅s de la escena. El m茅todo mejora la segmentaci贸n en escenas donde la informaci贸n de intensidad o de rango es insuficiente para obtener una separaci贸n adecuada de los objetos de inter茅s. Se presentan resultados experimentales del m茅todo propuesto sobre im谩genes simuladas e im谩genes reales adquiridas por una c谩mara espec铆fica, y se derivan conclusiones a partir de los mismos.WCGIV - XI Workshop computaci贸n gr谩fica, im谩genes y visualizaci贸nRed de Universidades con Carreras en Inform谩tica (RedUNCI

    Interleaving Scheduling Algorithm for SLM Transactions in Mode S Surveillance Radar

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    Mode S Secondary Surveillance Radar establishes selective and univocally addressed transactions with aircraft within its coverage while using efficiently the available budgets of time and energy. This benefits are key to supporting high-traffic density. A preliminary interleaving algorithm for the scheduling of Short Length Message transactions is presented and tested under a heavy load simulated scenario.IX Workshop Procesamiento de Se帽ales y Sistemas de Tiempo Real (WPSTR)Red de Universidades con Carreras en Inform谩tica (RedUNCI

    Time of Flight Image Segmentation through Co-Regularized Spectral Clustering

    Get PDF
    Time of Flight (TOF) cameras generate two simultaneous images, one for intensity and one for range. This allows tackling segmentation problems where the information pertaining to intensity or range alone is not enough to extract objects of interest from a 3D scene. In this paper, we present a spectral segmentation method that combines information from both images. By modifying the affinity matrix of each of the images based on the other, the segmentation of objects in the scene is improved. The proposed method exploits two mechanisms, one for reducing the computational demand when calculating the eigenvectors for each matrix, and another for improving segmentation performance. The experimental results obtained with two sets of real images are presented and used to assess the proposed method.Publicado en Feierherd, Guillermo; Pesado, Patricia; Spositto, Osvaldo (eds.). Computer Science & Technology Series. XX Argentine Congress of Computer Science. Selected papers. La Plata, Editorial de la Universidad Nacional de La Plata, 2015.Red de Universidades con Carreras en Inform谩tica (RedUNCI

    A fast CORDIC co-processor architecture for digital signal processing applications

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    The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used for arithmetic units in the fast computing of elementary functions and for special purpose hardware in programmable logic devices. This paper describes a classification method that can be used for the possible applications of the algorithm and the architecture that is required for fast hardware computing of the algorithm.脕rea: Redes - Sistemas Operativos - Sistemas de Tiempo Real - Arquitectura de ProcesadoresRed de Universidades con Carreras en Inform谩tica (RedUNCI

    Descripciones VHDL para calcular la funci贸n rec铆proca en precisi贸n simple

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    En este trabajo presentamos una descripci贸n VHDL de un m茅todo para el c贸mputo de la funci贸n rec铆proca en formato IEEE 754 de precisi贸n simple. El algoritmo b谩sico es el ATA (Add-Table lookup-Add) propuesto por Wong y Goto. Despu茅s de analizar y comparar el error del algoritmo original con el de las posibles alternativas, se sugieren mejoras que permiten reducir el tama帽o de las tablas requeridas. Las descripciones VHDL implementadas forman parte de una biblioteca de algoritmos para el c谩lculo de funciones elementales.Eje: FPGARed de Universidades con Carreras en Inform谩tica (RedUNCI

    Colaboraci贸n ADS-B en la predicci贸n SSR

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    En una estaci贸n de vigilancia del tr谩nsito a茅reo con SSR y ADS-B, la informaci贸n 煤nica generada por cada sensor se puede utilizar para mejorar el rendimiento del otro. Cuando el SSR interroga Roll-Call en modo S, predice la posici贸n de la aeronave para el siguiente giro de antena en base a estimaciones previas. Esta comunicaci贸n presenta un m茅todo de colaboraci贸n del rastreador del ADS-B con el SSR que mejora el desempe帽o del predictor que necesitan las interrogaciones Roll-Call.XIII Workshop Procesamiento de Se帽ales y Sistemas de Tiempo Real (WPSSTR)Red de Universidades con Carreras en Inform谩tic

    A fast CORDIC co-processor architecture for digital signal processing applications

    Get PDF
    The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used for arithmetic units in the fast computing of elementary functions and for special purpose hardware in programmable logic devices. This paper describes a classification method that can be used for the possible applications of the algorithm and the architecture that is required for fast hardware computing of the algorithm.脕rea: Redes - Sistemas Operativos - Sistemas de Tiempo Real - Arquitectura de Procesadore
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