Geometric modeling in shape space

Martin Kilian, Niloy J. Mitra, Helmut Pottmann
2007 ACM Transactions on Graphics  
Figure 1 : Geodesic interpolation and extrapolation. The blue input poses of the elephant are geodesically interpolated in an as-isometricas-possible fashion (shown in green), and the resulting path is geodesically continued (shown in purple) to naturally extend the sequence. No semantic information, segmentation, or knowledge of articulated components is used. Abstract We present a novel framework to treat shapes in the setting of Riemannian geometry. Shapes -triangular meshes or more
more » ... straight line graphs in Euclidean space -are treated as points in a shape space. We introduce useful Riemannian metrics in this space to aid the user in design and modeling tasks, especially to explore the space of (approximately) isometric deformations of a given shape. Much of the work relies on an efficient algorithm to compute geodesics in shape spaces; to this end, we present a multiresolution framework to solve the interpolation problem -which amounts to solving a boundary value problem -as well as the extrapolation problem -an initial value problem -in shape space. Based on these two operations, several classical concepts like parallel transport and the exponential map can be used in shape space to solve various geometric modeling and geometry processing tasks. Applications include shape morphing, shape deformation, deformation transfer, and intuitive shape exploration.
doi:10.1145/1239451.1239515 fatcat:6ekgss2d3bealh6pnyaqszne2e