Keywords
cross-depiction, classification, synthesis, feature, spatial layout, connectivity, representation
Abstract
Abstract 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, and 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.
Publisher
Tsinghua University Press
Recommended Citation
Peter Hall, Hongping Cai, Wu Qi et al. Cross-depiction problem: Recognition and synthesis of photographs and artwork. Computational Visual Media 2015, 1(2): 91-103.
Included in
Computational Engineering Commons, Computer-Aided Engineering and Design Commons, Graphics and Human Computer Interfaces Commons, Software Engineering Commons