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PRODID:-//GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen - ECPv5.7.0//NONSGML v1.0//EN
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X-WR-CALNAME:GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
X-ORIGINAL-URL:https://www.greyc.fr
X-WR-CALDESC:évènements pour GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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TZID:Europe/Paris
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TZOFFSETFROM:+0100
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TZNAME:CEST
DTSTART:20240331T010000
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DTSTART:20241027T010000
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DTSTART;TZID=Europe/Paris:20240402T100000
DTEND;TZID=Europe/Paris:20240402T110000
DTSTAMP:20260422T074505
CREATED:20240304T095916Z
LAST-MODIFIED:20240318T103700Z
UID:11450-1712052000-1712055600@www.greyc.fr
SUMMARY:Séminaire Algorithmique : « How to rotate digital images without losing information? »\, Yukiko Kenmochi (GREYC\, Caen)
DESCRIPTION:While rotations are bijections that preserve distances and angles in Euclidean space\, these geometric properties are not preserved in general when rotations are applied to digital images. In this talk\, we particularlly focus on bijection and topology\, which are also generally lost. With regard to bijections\, we present the set of rotations that give bijective rotations in Z² and Z³. We also show the characterization of such rotations in Z². Turning to topology\, we present the class of 2D digital images whose topology is preserved under any rotation\, known as (digital) « regular » images\, along with « regularization » methods based on an up-sampling strategy. We also show that this notion of regularity cannot be extended to 3D since counter-examples exist.
URL:https://www.greyc.fr/event/seminaire-algorithmique-yukiko-kenmochi-greyc-caen/
LOCATION:Sciences 3- S3 351
CATEGORIES:Amacc,General,News,Séminaire Algo
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