Don't measure - appreciate: NPR seen through the prism of art history

P M Hall, Ann-Sophie Lehmann

Research output: Chapter or section in a book/report/conference proceedingChapter or section


Non Photorealistic Rendering is now an established discipline, yet the question of how to evaluate NPR output is often raised. The question is most acute when the NPR algorithms are fully automatic, because then the outputs have no human involvement other than authorship of code. This paper addresses the question “how can we assess the value of automatically produced NPR”. We doubt there is any single objective answer to this important question. We argue that experiments are at best difficult to design, and even the Turing test is of limited value because we are not asking whether a piece has been produced by a human but whether it possesses artistic merit regardless of its source. We conclude by suggesting that to assess progress in NPR, one must adopt an art historical perspective and appreciate it both for itself in its own terms, and its wider cultural context
Original languageEnglish
Title of host publicationImage and Video-Based Artistic Stylisation
EditorsJohn Collomosse, Paul Rosin
Place of PublicationUK
Number of pages19
Publication statusPublished - 2014


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