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David G. Lowe

Computing Methodologies

David G. Lowe is a Canadian computer scientist who earned his doctorate from Stanford University in 1985 and later taught at the University of British Columbia before joining Google as a senior research scientist. He is best known as the creator of the Scale-Invariant Feature Transform, known as SIFT, an algorithm for detecting and describing distinctive local features in images that became one of the most widely used tools in computer vision for object recognition and image matching.

Facts
Birth Year
2000 1
Award
PAMI Distinguished Researcher Award 1
Connections

Credited

Source Scale-invariant feature transform (Wikipedia)

Invented

Source Scale-invariant feature transform (Wikipedia)
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Source Wikidata: David G. Lowe
Sources
1. Wikidata: David G. Lowe
Wikidata Q92679, resolved via en.wikipedia pageprops (wave rule R-L)View the Source
Scale-invariant feature transform (Wikipedia)
  • Credited: Scale-Invariant Feature Transform Algorithm, Lead section
    invented by David Lowe in 1999
  • Invented: Scale-Invariant Feature Transform Algorithm, Lead section
    invented by David Lowe in 1999
  • Credited: Scale-Invariant Feature Transform Algorithm, Lead
    The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999.
View the Source
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