Canonical Views for Scene Recognition in Mobile Robotics
Scene understanding is still an important challenge in robotics. Nevertheless scene recognition involves determining when an image is good enough to represent the scene and therefore it can be used for classification. Most research on scene recognition involves working with sets of images which have been acquired using a predefined sampling rate, nevertheless, this means working with very noisy and redundant sets of images. In this paper we analyse different alternatives to automatically select images according to amount of information they provide and how representative they are.
Palabras clave: Scene recognition, Sampling, Canonical views
Publicación: Congreso
1624015035203
18 de junio de 2021
/research/publications/canonical-views-for-scene-recognition-in-mobile-robotics
Scene understanding is still an important challenge in robotics. Nevertheless scene recognition involves determining when an image is good enough to represent the scene and therefore it can be used for classification. Most research on scene recognition involves working with sets of images which have been acquired using a predefined sampling rate, nevertheless, this means working with very noisy and redundant sets of images. In this paper we analyse different alternatives to automatically select images according to amount of information they provide and how representative they are. - D.Santos-Saavedra, X.M. Pardo, R. Iglesias - 10.1007/978-3-319-19390-8_58
publications_es