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An Optimal Control Approach for Texture Metamorphosis
Author(s) -
Kabul Ilknur,
Pizer Stephen M.,
Rosenman Julian,
Niethammer Marc
Publication year - 2011
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2011.02067.x
Subject(s) - image warping , computer science , texture (cosmology) , texture filtering , artificial intelligence , pixel , projective texture mapping , computer vision , texture compression , feature (linguistics) , texture synthesis , transformation (genetics) , bidirectional texture function , position (finance) , pattern recognition (psychology) , image texture , image (mathematics) , image processing , linguistics , biochemistry , chemistry , finance , economics , gene , philosophy
In this paper, we introduce a new texture metamorphosis approach for interpolating texture samples from a source texture into a target texture. We use a new energy optimization scheme derived from optimal control principles which exploits the structure of the metamorphosis optimality conditions. Our approach considers the change in pixel position and pixel appearance in a single framework. In contrast to previous techniques that compute a global warping based on feature masks of textures, our approach allows to transform one texture into another by considering both intensity values and structural features of textures simultaneously. We demonstrate the usefulness of our approach for different textures, such as stochastic, semi‐structural and regular textures, with different levels of complexities. Our method produces visually appealing transformation sequences with no user interaction.