Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2700727
Abstract: In this paper, we present a robust global approach for point cloud registration from uniformly sampled points. Based on eigenvalues and normals computed from multiple scales, we design fast descriptors to extract local structures of… read more here.
Keywords: seed; point; robust global; point cloud ... See more keywords
Robust Global Identification of LPV Errors-in-Variables Systems With Incomplete Observations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3071137
Abstract: This article develops a robust global strategy for identifying the linear parameter varying (LPV) errors-in-variables (EIVs) systems subjected to randomly missing observations and outliers. The parameter interpolated LPV autoregressive exogenous model with an uncertain/noisy input… read more here.
Keywords: errors variables; identification; robust global; identification lpv ... See more keywords
On Robust Global Error Bounds for a Class of Uncertain Piecewise Linear Inequality Systems
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11100497
Abstract: This paper is concerned with the radius of robust global error bounds for an uncertain piecewise linear inequality system where the uncertain data are assumed to be in polytope uncertain sets. We first present a… read more here.
Keywords: uncertain piecewise; global error; robust global; error bounds ... See more keywords