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Cross-depiction problem: Recognition and Synthesis of Photographs and Artwork


Reference:

Hall, P., Cai, H., Wu, Q. and Corradi, T., 2015. Cross-depiction problem: Recognition and Synthesis of Photographs and Artwork. Computational Visual Media, 1 (2), pp. 91-103.

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    Official URL:

    http://dx.doi.org/10.1007/s41095-015-0017-1

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    Abstract

    The cross-depiction is the recognition -- and synthesis -- of objects whether they are photographed, painted, drawn, etc. It is a significant yet under-researched problem. Emulating the remarkable human ability to recognise and depict objects in an astonishingly wide variety of depictive forms is likely to advance both the foundations and the applications of Computer Vision. In this paper we motivate the cross-depiction problem, explain why it is difficult, discuss some current approaches. Our main conclusions are (i) appearance-based recognition systems tend to be over-fitted to one depiction, (ii) models that explicitly encode spatial relations between parts are more robust, and (iii) recognition and non-photorealistic synthesis are related tasks.

    Details

    Item Type Articles
    CreatorsHall, P., Cai, H., Wu, Q. and Corradi, T.
    DOI10.1007/s41095-015-0017-1
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    URLURL Type
    http://dx.doi.org/10.1007/s41095-015-0017-1 Official URLFree Full-text
    DepartmentsFaculty of Science > Computer Science
    Faculty of Engineering & Design > Mechanical Engineering
    Research CentresMedia Technology Research Centre
    RefereedNo
    StatusPublished
    ID Code49230

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