The Role of Diffusion in Figure Hunt Games

Julia Diebold; Sibel Tari; Daniel Cremers

doi:10.1007/s10851-014-0548-6

The Role of Diffusion in Figure Hunt Games

Julia Diebold, Sibel Tari, Daniel Cremers

Informatics 9 - Chair of Computer Vision and Artificial Intelligence

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We consider the task of tracing out target figures hidden in teeming figure pictures known as figure hunt games. Figure hunt games are a popular genre of visual puzzles; a timeless classic for children, artists and cognitive scientists. We argue and experimentally demonstrate that diffusion is a key to algorithmically search for a target figure in a binary line drawing. Particularly suited to the considered task, we propose a diffuse representation which diffuses the image while retaining the contour information.

Original language	English
Pages (from-to)	108-123
Number of pages	16
Journal	Journal of Mathematical Imaging and Vision
Volume	52
Issue number	1
DOIs	https://doi.org/10.1007/s10851-014-0548-6
State	Published - 1 May 2015

Keywords

Applications of variational and PDE methods
Figure hunt games
Level sets
Non-linear diffusion
Screened Poisson PDE and variants
Teeming figure pictures

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10.1007/s10851-014-0548-6

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KW - Non-linear diffusion

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The Role of Diffusion in Figure Hunt Games

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