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Comparative evaluation on CMU database for reweighted random walk method (RRWM), spectral matching method (SM), and normalized cross-correlation (NCC).

Journal: Sensors (Basel, Switzerland)

Article Title: NCC Based Correspondence Problem for First- and Second-Order Graph Matching †

doi: 10.3390/s20185117

Figure Lengend Snippet: Comparative evaluation on CMU database for reweighted random walk method (RRWM), spectral matching method (SM), and normalized cross-correlation (NCC).

Article Snippet: Both of them are realized based on normalized cross-correlation (NCC) algorithm, which allows us to address graph matching or derived sub-problems with a closer relationship with experiments on integer quadratic programming (IQP) models in the Matlab platform.

Techniques: