Author/Authors
özuysal, mustafa izmir yüksek teknoloji enstitüsü - mühendislik fakültesi - bilgisayar mühendisliği bölümü, İzmir, Türkiye
Title Of Article
Object detection with BRIEF descriptors and locality sensitive matching for augmented reality
شماره ركورد
40954
Abstract
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.
From Page
588
NaturalLanguageKeyword
Computer vision , Object detection , Augmented reality , Locality sensitive matching , Binary descriptors
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
596
JournalTitle
Pamukkale University Journal Of Engineering Sciences
Link To Document