We present a novel approach to mesh deformation that enables simple context sensitive manipulation of 3D geometry. The method is based on locally anisotropic transformations and is extended to global control directions. This allows intuitive directional modeling within an easy to implement framework. The proposed method complements current sculpting paradigms by providing further possibilities for intuitive surface-based editing without the need for additional host geometries. We show the anisotropic deformation to be seamlessly transferable to free boundary parameterization methods, which allows us to solve the hard problem of flattening compression garments in the domain of apparel design.
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We want to thank Blendswap artists Calore for the cobra, Metalix for the dog, and Nerotbf for the Roman bust.
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Matteo Colaianni is a Ph.D. candidate in the Computer Graphics Group of the University of Erlangen- Nuremberg. His research focus is geometry processing in the field of apparel design and statistical shape analysis.
Christian Siegl is a Ph.D. candidate in the Computer Graphics Group of the University of Erlangen-Nuremberg. His research focuses on mixed-reality using projection mapping, medical image processing, and the virtual creation of apparel.
Jochen Süßmuth completed his Ph.D. degree on geometry processing in Erlangen University in 2011. After that, he joined the Adidas group where he is currently working as a researcher in the field of computer graphics.
Frank Bauer is a research fellow in the Computer Graphics Group of the University of Erlangen-Nuremberg. His research focuses on 3D scene reconstruction, augmented, mixed and virtual-reality applications, and accessible human–machine interactions.
Günther Greiner is the head of the Computer Graphics Group of the University of Erlangen-Nuremberg. His research focuses on geometry processing and geometric modelling.
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Colaianni, M., Siegl, C., Süßmuth, J. et al. Anisotropic deformation for local shape control. Comp. Visual Media 3, 305–313 (2017). https://doi.org/10.1007/s41095-017-0092-6