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


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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    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.


    Item Type Articles
    CreatorsHall, P., Cai, H., Wu, Q. and Corradi, T.
    Related URLs
    URLURL Type Official URLFree Full-text
    DepartmentsFaculty of Science > Computer Science
    Faculty of Engineering & Design > Mechanical Engineering
    Research CentresMedia Technology Research Centre
    ID Code49230


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