Retrieval and classification methods for textured 3d models: a comparative study

HIGHLIGHTS

  • who: S Biasotti and collaborators from the "EMagenes", CNR, Italy Concordia University, Canada have published the research work: Retrieval and classification methods for textured 3D models: a comparative study, in the Journal: (JOURNAL)
  • what: The hybrid description comes from a geodesic distance fgeod: S → R defined in a higher dimensional embedding space, similarly to the approach proposed, and used as a real-valued function in the persistence framework to associate S with the persistence diagram Dgm(fgeod ). In the highly relevant scenario, the main goal is to evaluate the performance of algorithms when models vary . . .

     

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