Canonical Views for Scene Recognition in Mobile Robotics

TítuloCanonical Views for Scene Recognition in Mobile Robotics
AutoresD.Santos-Saavedra, X.M. Pardo, R. Iglesias
TipoPoster para congreso
Fonte 7th Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela (Spain), Springer, pp. 514-521 , 2015.
ISBN978-3-319-19389-2
ISSN0302-9743
DOI10.1007/978-3-319-19390-8_58
AbstractScene 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 chaveScene recognition, Sampling, Canonical views

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