Time of Flight Image Segmentation through Co-Regularized Spectral Clustering

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 Informática (RedUNCI

Time of Flight Image Segmentation through Co-Regularized Spectral Clustering

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 Informática (RedUNCI

ROC performance evaluation of RADSPM technique

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 Computación Gráfica, Imágenes y Visualización (WCGIV)Red de Universidades con Carreras en Informática (RedUNCI

Segmentación espectral de imágenes utilizando camaras de tiempo de vuelo

En este artículo se presenta un método de segmentación aplicable a imágenes adquiridas con cámaras de tiempo de vuelo (TOF). Las cámaras TOF generan dos imágenes simultaneas, una de intensidad y una de rango. El método propuesto modela ambas imágenes mediante una matriz de unidad independiente para cada imagen. Transformando la imagen de rango y utilizando el criterio de cortes normalizados se optimiza la segmentación de los objetos de interés de la escena. El método mejora la segmentación en escenas donde la información de intensidad o de rango es insuficiente para obtener una separación adecuada de los objetos de interés. Se presentan resultados experimentales del método propuesto sobre imágenes simuladas e imágenes reales adquiridas por una cámara específica, y se derivan conclusiones a partir de los mismos.WCGIV - XI Workshop computación gráfica, imágenes y visualizaciónRed de Universidades con Carreras en Informática (RedUNCI

Interleaving Scheduling Algorithm for SLM Transactions in Mode S Surveillance Radar

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 Señales y Sistemas de Tiempo Real (WPSTR)Red de Universidades con Carreras en Informática (RedUNCI

Time of Flight Image Segmentation through Co-Regularized Spectral Clustering

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 Informática (RedUNCI

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

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.Área: Redes - Sistemas Operativos - Sistemas de Tiempo Real - Arquitectura de ProcesadoresRed de Universidades con Carreras en Informática (RedUNCI

Descripciones VHDL para calcular la función recíproca en precisión simple

En este trabajo presentamos una descripción VHDL de un método para el cómputo de la función recíproca en formato IEEE 754 de precisión simple. El algoritmo básico es el ATA (Add-Table lookup-Add) propuesto por Wong y Goto. Después de analizar y comparar el error del algoritmo original con el de las posibles alternativas, se sugieren mejoras que permiten reducir el tamaño de las tablas requeridas. Las descripciones VHDL implementadas forman parte de una biblioteca de algoritmos para el cálculo de funciones elementales.Eje: FPGARed de Universidades con Carreras en Informática (RedUNCI

Colaboración ADS-B en la predicción SSR

En una estación de vigilancia del tránsito aéreo con SSR y ADS-B, la información única generada por cada sensor se puede utilizar para mejorar el rendimiento del otro. Cuando el SSR interroga Roll-Call en modo S, predice la posición de la aeronave para el siguiente giro de antena en base a estimaciones previas. Esta comunicación presenta un método de colaboración del rastreador del ADS-B con el SSR que mejora el desempeño del predictor que necesitan las interrogaciones Roll-Call.XIII Workshop Procesamiento de Señales y Sistemas de Tiempo Real (WPSSTR)Red de Universidades con Carreras en Informátic

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

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.Área: Redes - Sistemas Operativos - Sistemas de Tiempo Real - Arquitectura de Procesadore