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4 Result(s)

within Tamás Szirányi Remove this filter Algorithm Analysis and Problem Complexity Remove this filter

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  1. No Access

    Chapter and Conference Paper

    Calibrationless Sensor Fusion Using Linear Optimization for Depth Matching

    Recently the observation of surveillanced areas scanned by multi-camera systems is getting more and more popular. The newly developed sensors give new opportunities for exploiting novel features.

    László Havasi, Attila Kiss, László Spórás, Tamás Szirányi in Combinatorial Image Analysis (2014)

  2. No Access

    Chapter and Conference Paper

    Orthogonality Based Stop** Condition for Iterative Image Deconvolution Methods

    Deconvolution techniques are widely used for image enhancement from microscopy to astronomy. The most effective methods are based on some iteration techniques, including Bayesian blind methods or Greedy algori...

    Dániel Szolgay, Tamás Szirányi in Computer Vision – ACCV 2010 (2011)

  3. No Access

    Chapter and Conference Paper

    Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes

    In this paper we give a new model for foreground-back-ground-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly background like colors and shadows ar...

    Csaba Benedek, Tamás Szirányi in Computer Vision – ACCV 2006 (2006)

  4. No Access

    Chapter and Conference Paper

    Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods

    We have developed a new stochastic image rendering method for the compression, description and segmentation of images. This paintbrush-like image transformation is based on a random searching to insert brush-s...

    Tamás Szirányi, Zoltán Tóth in Energy Minimization Methods in Computer Vi… (2001)