Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Soysal, Medeni"'
Autor:
Soysal, Medeni
Novel methods of object recognition that form a bridge between today&rsquo
s local feature frameworks and previous decade&rsquo
s strong but deserted geometric invariance field are presented in this dissertation. The rationale behind this e
s local feature frameworks and previous decade&rsquo
s strong but deserted geometric invariance field are presented in this dissertation. The rationale behind this e
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/12614313/index.pdf
Autor:
Soysal, Medeni
Digital multimedia content production and the amount of content present all over the world have exploded in the recent years. The consequences of this fact can be observed everywhere in many different forms, to exemplify, huge digital video archives
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/4/1124353/index.pdf
Autor:
Soysal, Medeni, Alatan, Abdullah Aydın
This article introduces a novel method for 3D object recognition, which utilizes well-known local features in a more efficient way, without any reliance on partial or global planarity. Geometrically consistent local features, which form the crucial b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9954::9a4d0dd8babca1cc2a2c83eb7ff1dacf
https://hdl.handle.net/11511/33254
https://hdl.handle.net/11511/33254
Recognition Of 3D Objects From Unconstrained 2D Images By Using Local Appearance And Affine Geometry
Autor:
Soysal, Medeni, Alatan, A. Aydin
This paper introduces a novel method, which utilizes local appearance descriptions in a more efficient way, for 3D object recognition. Geometrically consistent local features are identified using affine 3D and 2D geometric invariants, without any rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::9bc0bd8d39d1aea96b6c3ba772056ddc
https://aperta.ulakbim.gov.tr/record/91995
https://aperta.ulakbim.gov.tr/record/91995
Autor:
Soysal, Medeni, Alatan, A. Aydin
A novel approach involving the comparison of appearance and geometrical similarity of local patterns via a combined description is presented. Candidate groups of interest points are identified based on unlikeliness of being matched by chance. For eac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::215393c8be913e1a16e7ff55eec9588c
https://aperta.ulakbim.gov.tr/record/92421
https://aperta.ulakbim.gov.tr/record/92421
Publikováno v:
2015 23nd Signal Processing & Communications Applications Conference (SIU); 2015, p1672-1675, 4p
Publikováno v:
2015 23nd Signal Processing & Communications Applications Conference (SIU); 2015, p875-878, 4p
Publikováno v:
2015 7th International Conference on Recent Advances in Space Technologies (RAST); 2015, p615-619, 5p
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