Hierarchical Representation Via Message Propagation for Robust Model Fitting
Volume: 68, Issue: 9, Pages: 8582 - 8592
Published: Sep 1, 2021
Abstract
In this article, we propose a novel hierarchical representation via message propagation (HRMP) method for robust model fitting, which simultaneously takes advantages of both the consensus analysis and the preference analysis to estimate the parameters of multiple model instances from data corrupted by outliers, for robust model fitting. Instead of analyzing the information of each data point or each model hypothesis independently, we formulate...
Paper Details
Title
Hierarchical Representation Via Message Propagation for Robust Model Fitting
Published Date
Sep 1, 2021
Volume
68
Issue
9
Pages
8582 - 8592
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