Search Results - "I.4.6 [Image Processing and Computer Vision]: Segmentation—Pixel classification"

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  1. 1

    Shared Sampling for Real-Time Alpha Matting by Gastal, Eduardo S. L., Oliveira, Manuel M.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.05.2010
    Published in Computer graphics forum (01.05.2010)
    “…Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in…”
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    Journal Article
  2. 2

    Learning Probabilistic Transfer Functions: A Comparative Study of Classifiers by Soundararajan, K. P., Schultz, T.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2015
    Published in Computer graphics forum (01.06.2015)
    “…Complex volume rendering tasks require high‐dimensional transfer functions, which are notoriously difficult to design. One solution to this is to learn…”
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    Journal Article
  3. 3

    GEMSe: Visualization-Guided Exploration of Multi-channel Segmentation Algorithms by Fröhler, B., Möller, T., Heinzl, C.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2016
    Published in Computer graphics forum (01.06.2016)
    “…We present GEMSe, an interactive tool for exploring and analyzing the parameter space of multi‐channel segmentation algorithms. Our targeted user group are…”
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    Journal Article
  4. 4

    Live Video Montage with a Rotating Camera by Dong, Zilong, Jiang, Lei, Zhang, Guofeng, Wang, Qing, Bao, Hujun

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.10.2009
    Published in Computer graphics forum (01.10.2009)
    “…High‐quality video editing usually requires accurate layer separation in order to resolve occlusions. However, most of the existing bilayer segmentation…”
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    Journal Article
  5. 5

    Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images by Zukić, Dženan, Vlasák, Aleš, Egger, Jan, Hořínek, Daniel, Nimsky, Christopher, Kolb, Andreas

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.09.2014
    Published in Computer graphics forum (01.09.2014)
    “…The diagnosis of certain spine pathologies, such as scoliosis, spondylolisthesis and vertebral fractures, is part of the daily clinical routine. Very…”
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    Journal Article
  6. 6

    A Comprehensive Survey on Sampling‐Based Image Matting by Yao, Guilin, Zhao, Zhijie, Liu, Shaohui

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.12.2017
    Published in Computer graphics forum (01.12.2017)
    “…Sampling‐based image matting is currently playing a significant role and showing great further development potentials in image matting. However, the consequent…”
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    Journal Article
  7. 7

    Visualizing the Uncertainty of Graph‐based 2D Segmentation with Min‐path Stability by Summa, B., Tierny, J., Pascucci, V.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2017
    Published in Computer graphics forum (01.06.2017)
    “…This paper presents a novel approach to visualize the uncertainty in graph‐based segmentations of scalar data. Segmentation of 2D scalar data has wide…”
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    Journal Article
  8. 8

    Interactive modelling for AR applications by Bastian, J, Ward, B, Hill, R, van den Hengel, A, Dick, A

    ISBN: 9781424493432, 1424493439
    Published: IEEE 01.10.2010
    “…We present a method for estimating the 3D shape of an object from a sequence of images captured by a hand-held device. The method is well suited to augmented…”
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    Conference Proceeding
  9. 9

    Foreground and shadow occlusion handling for outdoor augmented reality by Boun Vinh Lu, Kakuta, T, Kawakami, R, Oishi, T, Ikeuchi, K

    ISBN: 9781424493432, 1424493439
    Published: IEEE 01.10.2010
    “…Occlusion handling in augmented reality (AR) applications is challenging in synthesizing virtual objects correctly into the real scene with respect to existing…”
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    Conference Proceeding
  10. 10

    Towards a Support System for Digital Mammogram Classification by Bajcsi, A.

    ISSN: 1224-869X, 2065-9601
    Published: Babes-Bolyai University, Cluj-Napoca 15.12.2021
    “…Cancer is the illness of the 21th century. With the development of technology some of these lesions became curable, if they are in an early stage. Researchers…”
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    Journal Article