Skip to main content

Advertisement

Patches in Vision

  1. The ability of an image region to hide or mask a given target signal continues to play a key role in the design of numerous image processing and vision systems. However, current state-of-the-art models of visual ...

    Authors: Damon M. Chandler, Matthew D. Gaubatz and Sheila S. Hemami

    Citation: EURASIP Journal on Image and Video Processing 2009 2009:649316

    Content type: Research Article

    Published on:

  2. We present a novel approach for contextual classification of image patches in complex visual scenes, based on the use of histograms of quantized features and probabilistic aspect models. Our approach uses cont...

    Authors: Florent Monay, Pedro Quelhas, Jean-Marc Odobez and Daniel Gatica-Perez

    Citation: EURASIP Journal on Image and Video Processing 2009 2009:602920

    Content type: Research Article

    Published on:

  3. Motion estimation techniques are widely used in todays video processing systems. The most frequently used techniques are the optical flow method and phase correlation method. The vast majority of these algorit...

    Authors: EM Ismaili Aalaoui, E Ibn-Elhaj and EH Bouyakhf

    Citation: EURASIP Journal on Image and Video Processing 2009 2009:381673

    Content type: Research Article

    Published on:

  4. We present a supervised learning approach for object-category specific restoration, recognition, and segmentation of images which are blurred using an unknown kernel. The novelty of this work is a multilayer g...

    Authors: Mithun Das Gupta, Shyamsundar Rajaram, Nemanja Petrovic and Thomas S. Huang

    Citation: EURASIP Journal on Image and Video Processing 2009 2009:641804

    Content type: Research Article

    Published on:

  5. The paper overviews the concept of using circular patches as local features for image description, matching, and retrieval. The contents of scanning circular windows are approximated by predefined patterns. Ch...

    Authors: Andrzej Sluzek

    Citation: EURASIP Journal on Image and Video Processing 2009 2009:959536

    Content type: Review Article

    Published on: