Title :
Morse homology descriptor for shape characterization
Author :
Allili, Madjid ; Corriveau, David ; Ziou, Djemel
Author_Institution :
Dept. of Comput. Sci., Bishop´´s Univ., Lennoxville, Que., Canada
Abstract :
We propose a new topological method for shape description that is suitable for any multi-dimensional data set that can be modelled as a manifold. The description is obtained for all pairs (M, f), where M is a closed smooth manifold and f a Morse function defined on M. More precisely, we characterize the topology of all pairs of lower level sets (My, Mx) of f, where Ma = f-1((-∞,a]), for all a ∈ R. Classical Morse theory is used to establish a link between the topology of a pair of lower level sets of f and its critical points lying between the two levels.
Keywords :
computer vision; image recognition; Morse function; Morse homology descriptor; closed smooth manifold; shape characterization; shape description; topological method; Computer science; Computer vision; Distortion measurement; Encoding; Level set; Noise shaping; Sampling methods; Shape measurement; Size measurement; Topology;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333697