MATCHING AND PAINTING USING GESTALT MODELS

Project: Research council

Project Details

Description

When an artist makes a drawing or painting of the real world in front of them, they constantly compare what they see to their art. They retouch their art, sometimes to make it more accurate, other times to bring out parts of the scene that interest them. The point is that making art involves seeing somethings as more important than others, and requires an ability to match artwork to the real world. If we replace the artist by a computer we should expect the same things to be true, but at the moment this is not the case. Our proposal is to match photographs and artwork so machines can make better - and new - art. Doing so offers more benefits than producing better artwork, it is a basic technique we can use to help machines identify important parts of a photograph, which helps computers see the world through human eyes just a little more.
StatusFinished
Effective start/end date1/04/0630/09/09

Funding

  • Engineering and Physical Sciences Research Council

Fingerprint Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.

  • Research Output

    Abstract art by shape classification

    Song, Y-Z., Pickup, D., Li, C., Rosin, P. & Hall, P., Aug 2013, In : IEEE Transactions on Visualization and Computer Graphics. 19, 8, p. 1252-1263 12 p.

    Research output: Contribution to journalArticle

  • 13 Citations (Scopus)

    Simple Art as abstractions of photographs

    Hall, P. & Song, Y., 2013, CAE'13 Proceedings of the Symposium on Computational Aesthetics . New York : Association for Computing Machinery, p. 77-85 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Citations (Scopus)

    Learning invariant structure for object identification by using graph methods

    Xiao, B., Song, Y. Z. & Hall, P., 2011, In : Computer Vision and Image Understanding. 115, 7, p. 1023-1031 9 p.

    Research output: Contribution to journalArticle

  • 10 Citations (Scopus)