… detection, periodicity detection, key event/feature detection, … descriptors described in this
section are rooted in Morse … merge trees are inherently tree-based representations. Inspired by …

… This paper introduces a novel approach that leverages Morse theory and persistent …
Tree-based morse regions: A topological approach to local feature detection. IEEE Transactions on …

… approaches presented within this paper are based on Morse functions, their most relevant
features in … When ignoring the regions of the Morse-Smale complex and considering merely its …

… all data points for a contour tree-based uncertainty visualization [42] … , the area can encode
the volume of the topological feature. … To avoid noise introduced by the creation of the Morse …

… in Morse theory to calculate precise extreme feature regions. … Local invariant feature
detector can occupy very important … Morse theory aimed at describe the topological changes of …

… of computational topology [29] to data analysis boosted a renewed interest in that field, and
topological … topology, eg, Morse theory or persistent homology, to analyse and visualize data. …

… We weigh the boundaries of a subset of meaningful regions (local minima) in the shape …
Najman, “Tree-based morse regions: A topological approach to local feature detection,” IEEE …

… -valued function (Morse function), topological transition of M … certain topology features of X
and helps to point to areas of … These models represent a linear model, a tree-based model, …

… affineinvariant feature detection and matching method which … points in Morse theory called
precise extreme feature region (… Tree-based Morse regions: A topological approach to local …

… method for extracting geometric and topological features … Roadmap Method (PRM) [17] and
tree-based methods such as … 7, we noticed that our topology map captured nodes in regions …