Topological Active Volumes Optimization with Genetic Approaches

  1. Novo Buján, Jorge
  2. Barreira, Noelia
  3. González Penedo, Manuel Francisco
  4. Santos Reyes, José
Book:
XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas
  1. Borrajo Millán, Daniel (coord.)
  2. Castillo Vidal, Luis (coord.)
  3. Corchado Rodríguez, Juan Manuel (coord.)

Publisher: Universidad de Salamanca

ISBN: 978-84-611-8846-8,  978-84-611-8848-2

Year of publication: 2007

Volume: 2

Pages: 41-50

Congress: Conferencia de la Asociación Española para la Inteligencia Artificial (12. 2007. Salamanca)

Type: Conference paper

DIALNET GOOGLE SCHOLAR

Abstract

The Topological Active Volumes is an active model focused on 3D segmentation tasks. It is based on the 2D Topological Active Nets model and provides information about the surfaces and the inside of the detected objects in the scene. This paper proposes new optimization approaches based on Genetic Algorithms that improve the results of the 3D segmentations and overcome some drawbacks of the model related to parameter tuning or noise conditions.

Data source: Dialnet