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10.1109/ICCVW.2013.99guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Memory Efficient 3D Integral Volumes

Published: 02 December 2013 Publication History

Abstract

Integral image data structures are very useful in computer vision applications that involve machine learning approaches based on ensembles of weak learners. The weak learners often are simply several regional sums of intensities subtracted from each other. In this work we present a memory efficient integral volume data structure, that allows reduction of required RAM storage size in such a supervised learning framework using 3D training data. We evaluate our proposed data structure in terms of the tradeoff between computational effort and storage, and show an application for 3D object detection of liver CT data.
  1. Memory Efficient 3D Integral Volumes

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    Information & Contributors

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    Published In

    cover image Guide Proceedings
    ICCVW '13: Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops
    December 2013
    928 pages
    ISBN:9781479930227

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 02 December 2013

    Author Tags

    1. integral volume
    2. memory efficient
    3. object detection
    4. random forest
    5. summed volume table

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