Abstract:Accurate recovery of complex surfaces of manufactured artefacts frequently requires intensive sampling, resulting in inefficient measurements for some point-by-point probe instruments. To tackle this problem, we fully exploit Gaussian Process (GP) to guide the super resolution (SR) model to perform efficient and accurate sampling. The model makes use of a kernel-based GP method to model these low-frequency geometric features, while a pretrained SR method with multiple residual attention blocks is used to focus… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.