Artırılmış gerçeklik için BRIEF betimleyicileri ve yerelliğe duyarlı karma yöntemi ile nesne arama

Yıl 2017, Cilt: 23 Sayı: 5, 588 - 596, 20.10.2017

Mustafa Özuysal

Öz

Bu
çalışmada mobil artırılmış gerçeklik için kullanılabilecek bir nesne arama
yöntemi sunulmaktadır. Temel olarak yöntem anahtar nokta betimleyicilerinin
eşleştirilmesine ve bu anahtar nokta eşlerinin geometrik kıstaslar ile
süzülmesine dayanmaktadır. Eşlemenin hızlandırılması için gerekli
iyileştirmeler detayları ile verilmektedir. Ayrıca, Yerelliğe Duyarlı Karma
işleminin performansının bilgi erişim yaklaşımlarından faydalanılarak
arttırılabileceği de gösterilmiştir.

Anahtar Kelimeler

Bilgisayarlı görü, Nesne arama, Artırılmış gerçeklik, Yerelliğe duyarlı karma, İkilik betimleyiciler

Object detection with BRIEF descriptors and locality sensitive matching for augmented reality

Öz

In
this paper, an object detection approach suitable for mobile augmented reality
is presented. The baseline approach is based on matching keypoint descriptors
and verifying these matches with geometric constraints. The performance
optimizations necessary for speeding up matching are detailed. It is also
demonstrated that it is possible to increase the performance of the Locality
Sensitive Hashing by exploiting approaches from the information retrieval
field.

Anahtar Kelimeler

Computer vision, Object detection, Augmented reality, Locality sensitive matching, Binary descriptors

Kaynakça

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