all AI news
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. (arXiv:1601.06070v3 [cs.CV] UPDATED)
Web: http://arxiv.org/abs/1601.06070
Jan. 24, 2022, 2:10 a.m. | Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
cs.CV updates on arXiv.org arxiv.org
We propose the first algorithm for non-rigid 2D-to-3D shape matching, where
the input is a 2D shape represented as a planar curve and a 3D shape
represented as a surface; the output is a continuous curve on the surface. We
cast the problem as finding the shortest circular path on the product
3-manifold of the surface and the curve. We prove that the optimal matching can
be computed in polynomial time with a (worst-case) complexity of
$O(mn^2\log(n))$, where $m$ and …
More from arxiv.org / cs.CV updates on arXiv.org
Latest AI/ML/Big Data Jobs
Senior Data Analyst
@ Fanatics Inc | Remote - New York
Data Engineer - Search
@ Cytora | United Kingdom - Remote
Product Manager, Technical - Data Infrastructure and Streaming
@ Nubank | Berlin
Postdoctoral Fellow: ML for autonomous materials discovery
@ Lawrence Berkeley National Lab | Berkeley, CA
Principal Data Scientist
@ Zuora | Remote
Data Engineer
@ Veeva Systems | Pennsylvania - Fort Washington