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Cross-depiction problem: Recognition and synthesis of photographs and artwork

机译:交叉描写问题:照片和艺术品的识别和合成

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摘要

Cross-depiction is the recognition—and synthesis—of objects whether they are photographed,painted, drawn, etc. It is a significant yet underresearched 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.
机译:交叉描述是对对象的识别和合成,无论它们是被拍照,绘制,绘制等的。这是一个重要但尚未充分研究的问题。模拟人类以惊人的各种各样的描绘形式识别和描绘物体的非凡能力很可能会促进计算机视觉的基础和应用。在本文中,我们激发了交叉描述问题,解释了为什么如此困难,并讨论了一些当前的方法。我们的主要结论是:(i)基于外观的识别系统往往过于适合一种描述;(ii)明确编码零件之间空间关系的模型更加稳健;(iii)识别和非真实感合成是相关任务。

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