Wednesday, 10 August 2:00 pm - 3:30 pm | East Building, Ballroom C
Session Chair: Mathieu Desbrun, California Institute of Technology
Bounded Biharmonic Weights for Real-Time Deformation
Deformation by linear blending dominates practical use as the fastest approach for transforming 2D and 3D shapes. This paper develops "bounded biharmonic weights" that produce smooth and intuitive deformations for any combination of points, bones, and cages of arbitrary topology, making control of deformations simple and flexible.
Alec Jacobson
New York University
Ilya Baran
Disney Research Zürich
Jovan Popović
Adobe Systems Incorporated
Olga Sorkine
New York University
Blended Intrinsic Maps
This method for inter-surface mapping generates a map between two surfaces by blending multiple low-dimensional (conformal) maps with smoothly varying weights. Performance is evaluated on a diverse dataset and compared our resulting maps to several state-of-the-art methods.
Vladimir Kim
Princeton University
Yaron Lipman
Princeton University
Thomas Funkhouser
Princeton University
Biharmonic Distance
A new distance measure on manifolds based on the biharmonic differential operator that provides a nice trade-off between nearly geodesic distances for small distances and global shape-awareness for large distances.
Yaron Lipman
Princeton University
Raif Rustamov
Drew University
Thomas Funkhouser
Princeton University
Photo-Inspired Model-Driven 3D Object Modeling
An algorithm for photo-inspired creative 3D modeling where the user draws inspiration from a single photograph and the modeling process is supported by an available set of candidate objects.
Kai Xu
National University of Defense Technology and Simon Fraser University
Hanlin Zheng