SymPaD: Symbolic patch descriptor
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SciTePress
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
We propose a new local image descriptor named SymPaD for image understanding. SymPaD is a probability vector associated with a given image pixel and represents the attachment of the pixel to a previously designed shape repertoire. As such the approach is model-driven. The SymPad descriptor is illumination and rotation invariant, and extremely flexible on extending the repertoire with any parametrically generated geometrical shapes and any desired additional transformation types. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserved.
Açıklama
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 -- 11 March 2015 through 14 March 2015 -- 112690
10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 -- 11 March 2015 through 14 March 2015 -- 112690
Anahtar Kelimeler
Image feature, Image understanding, Model-driven visual dictionary, Object recognition, Primitive structures of natural images
Kaynak
VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
1
