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papersSEP 12 04:00 UTC

Bayesian Framework Unifies Point Set and Image Registration for Scientific Data

A new arXiv paper proposes treating nonrigid registration as a single unified problem, rather than splitting it into point set alignment and continuous intensity field alignment as is conventionally done. The approach, called Domain Elastic Transform, is framed in Bayesian terms and aimed at high-dimensional scientific datasets where existing grid-based and geometry-based methods struggle. It appears as a cross-listed replacement submission on arXiv cs.AI.

arXiv Domain Elastic Transform Bayesian inference image-registration point-set-registration scientific computing

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIDomain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data ↗SEP 12 04:00 UTC