Blended intrinsic maps
Abstract
This paper describes a fully automatic pipeline for finding an intrinsic map between two non-isometric, genus zero surfaces. Our approach is based on the observation that efficient methods exist to search for nearly isometric maps (e.g., Möbius Voting or Heat Kernel Maps), but no single solution found with these methods provides low-distortion everywhere for pairs of surfaces differing by large deformations. To address this problem, we suggest using a weighted combination of these maps to produce a "blended map." This approach enables algorithms that leverage efficient search procedures, yet can provide the flexibility to handle large deformations.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 01, 2011
- Source ID
- 10.1145/2010324.1964974
Entities
People
- Thomas Funkhouser
- Vladimir G. Kim
- Yaron Lipman
Organizations
- Air Force Office of Scientific Research
- Division of Computer and Network Systems
- Division of Computing and Communication Foundations
- Division of Information and Intelligent Systems
- Princeton University