Filtering sparse data with 3D tensorial structuring elements
| Autor: | Sylvie Philipp-Foliguet, Marcelo Bernardes Vieira, P.P. Martins, Matthieu Cord, Arnaldo de Albuquerque Araújo |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Surface (mathematics)
Reverse engineering Theoretical computer science Computer science business.industry Process (computing) Pattern recognition Computational geometry computer.software_genre Structuring Computer graphics Artificial intelligence Element (category theory) business computer Sparse matrix |
| Zdroj: | SIBGRAPI |
| DOI: | 10.1109/sibgra.2002.1167132 |
| Popis: | We address 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 our method act as three-dimensional structuring elements. They define normal orientations in space indicating possible surface continuations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|