Abstract
We present a novel algorithm for generating the mean structure of non-rigid stretchable shapes. Following an alignment process, which supports local affine deformations, we translate the search of the mean shape into a diagonalization problem where the structure is hidden within the kernel of a matrix. This is the first step required in many practical applications, where one needs to model bendable and stretchable shapes from multiple observations.
| Original language | English |
|---|---|
| Pages (from-to) | 132-144 |
| Number of pages | 13 |
| Journal | International Journal of Computer Vision |
| Volume | 124 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Sep 2017 |
Keywords
- Affine invariant
- Averaging shapes
- Metric invariants
- Non-rigid shapes
- Non-rigid statistics
- Shape space
All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence