Filtering sparse data with 3D tensorial structuring elements

Marcelo B. VieiraMatthieu CordPaulo P. Martins Jr.Arnaldo de Albuquerque AraújoSylvie Philipp-Foliguet

We address in this paper the problem of filtering three-dimensional sparse data representing real objects. The main application is to eliminate points that are not structured on surfaces. Points classified as organized can be the input for other processes. An accumulation process infers the organization of each input element. The tensorial fields used in this process act as three-dimensional structuring elements. They define normal orientations in space indicating possible surface continuations.

Caso o link acima esteja inválido, faça uma busca pelo texto completo na Web: Buscar na Web

Biblioteca Digital Brasileira de Computação - Contato:
     Mantida por: