Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10523
Title: Object detection with BRIEF descriptors and locality sensitive matching for augmented reality
Authors: Özuysal, Mustafa
Özuysal, Mustafa
Keywords: Computer vision
Ohject detection
Augmented reality
Locality sensitive matching
Binary descriptors
Issue Date: 2017
Publisher: Pamukkale Üniversitesi
Abstract: In this paper, an object detection approach suitable for mobile augmented reality is presented. The baseline approach is bused on matching keypoint descriptors and yerin.,ing these matches with geometric constraints. The performance optimizations necessary for speeding up matching are detailed. It is [ifs demonstrated that it is possible to increase the performance of the Locality Sensitive Hashing by exploiting approaches from the information retrieval field.
URI: https://doi.org/10.5505/pajes.2017.92604
https://hdl.handle.net/11147/10523
ISSN: 1300-7009
2147-5881
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

36
checked on Oct 20, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.