Tony Lindeberg

ORCID iD
https://orcid.org/0000-0002-9081-2170
  • Keywords
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scale space,

Sources:
Tony Lindeberg (2014-12-02)

receptive fields,

Sources:
Tony Lindeberg (2014-12-02)

feature detection,

Sources:
Tony Lindeberg (2014-12-02)

image-based recognition,

Sources:
Tony Lindeberg (2014-12-02)

video analysis,

Sources:
Tony Lindeberg (2018-01-12)

computer vision,

Sources:
Tony Lindeberg (2014-12-02)

computational modelling of biological vision,

Sources:
Tony Lindeberg (2014-12-02)

visual and auditory invariances

Sources:
Tony Lindeberg (2014-12-02)

  • Websites
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Google Scholar citations

Sources:
Tony Lindeberg (2016-01-27)

KTH profile

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Tony Lindeberg (2016-01-27)

Vision Lab at KTH

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Tony Lindeberg (2016-01-27)

ResearchGate profile

Sources:
Tony Lindeberg (2016-01-27)

  • Other IDs
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Scopus Author ID: 7004278733

Sources:
Scopus - Elsevier (2014-03-29)

Loop profile: 43832

Sources:
Loop (2016-01-27)

Biography

Tony Lindeberg is a Professor of Computer Science -- Computational Vision at KTH Royal Institute of Technology in Stockholm, Sweden. He was born in 1964, received his MSc degree in 1987, his PhD degree in 1991, became docent in 1996, and was appointed professor in 2000. He was a Research Fellow at the Royal Swedish Academy of Sciences between 2000 and 2010. His research interests in computational vision relate to scale-space theory, image features, object recognition, spatio-temporal recognition, focus-of-attention, shape and computational modelling of biological vision. He has developed theories and methodologies for continuous and discrete scale-space representation, visual and auditory receptive fields, detection of image features and salient image structures, automatic scale selection, scale-invariant image features, affine invariant features, affine and Galilean normalization, temporal and spatio-temporal scale-space concepts as well as spatial and spatio-temporal image descriptors for image-based recognition. He has also worked on topics in medical image analysis, brain activation and gesture recognition. He is author of the book Scale-Space Theory in Computer Vision.
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