Tensor Maps for Synchronizing Heterogeneous Shape Collections.

ABSTRACT: Establishing high-quality correspondence maps between geometric shapes has been shown to be the fundamental problem in managing geometric shape collections. Prior work has focused on computing efficient maps between pairs of shapes, and has shown a quantifiable benefit of joint map synchronization, where a collection of shapes are used to improve (denoise) the pairwise maps for consistency and correctness. However, these existing map synchronization techniques place very strong assumptions on the input shapes collection such as all the input shapes fall into the same category and/or the majority of the input pairwise maps are correct. In this paper, we present a multiple map synchronization approach that takes a heterogeneous shape collection as input and simultaneously outputs consistent

SUBMITTER: Huang Q 

PROVIDER: S-EPMC6656399 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature