Matches in DBpedia 2014 for { <http://dbpedia.org/resource/Scale_space> ?p ?o. }
Showing items 1 to 26 of
26
with 100 items per page.
- Scale_space abstract "Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling image structures at different scales, by representing an image as a one-parameter family of smoothed images, the scale-space representation, parametrized by the size of the smoothing kernel used for suppressing fine-scale structures. The parameter in this family is referred to as the scale parameter, with the interpretation that image structures of spatial size smaller than about have largely been smoothed away in the scale-space level at scale .The main type of scale space is the linear (Gaussian) scale space, which has wide applicability as well as the attractive property of being possible to derive from a small set of scale-space axioms. The corresponding scale-space framework encompasses a theory for Gaussian derivative operators, which can be used as a basis for expressing a large class of visual operations for computerized systems that process visual information. This framework also allows visual operations to be made scale invariant, which is necessary for dealing with the size variations that may occur in image data, because real-world objects may be of different sizes and in addition the distance between the object and the camera may be unknown and may vary depending on the circumstances.".
- Scale_space wikiPageExternalLink AA_RFtutorial.html.
- Scale_space wikiPageExternalLink index.html.
- Scale_space wikiPageExternalLink thesis_italy_XX_ciclo_andrea_anzalone.html.
- Scale_space wikiPageExternalLink lecture10.pdf.
- Scale_space wikiPageExternalLink cvap222.html.
- Scale_space wikiPageExternalLink Lin08-EncCompSci.html.
- Scale_space wikiPageExternalLink Lin94-SI-abstract.html.
- Scale_space wikiPageExternalLink cern-html.html.
- Scale_space wikiPageExternalLink Scale-space_theory.
- Scale_space wikiPageExternalLink 42927-find-peaks-using-scale-space-approach.
- Scale_space wikiPageExternalLink Scale_Invariant_Feature_Transform.
- Scale_space wikiPageID "1703661".
- Scale_space wikiPageRevisionID "602273975".
- Scale_space hasPhotoCollection Scale_space.
- Scale_space subject Category:Computer_vision.
- Scale_space subject Category:Image_processing.
- Scale_space comment "Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling image structures at different scales, by representing an image as a one-parameter family of smoothed images, the scale-space representation, parametrized by the size of the smoothing kernel used for suppressing fine-scale structures.".
- Scale_space label "Espace d'échelle".
- Scale_space label "Scale space".
- Scale_space sameAs Espace_d'échelle.
- Scale_space sameAs m.05pr29.
- Scale_space sameAs Q3058184.
- Scale_space sameAs Q3058184.
- Scale_space wasDerivedFrom Scale_space?oldid=602273975.
- Scale_space isPrimaryTopicOf Scale_space.