Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2017 / Cilt: 23 - Sayı: 5

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

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

Pages
588–596
Publication Date
2017-10-20
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, an object detection approach suitable for mobile augmented reality is presented.
📊
Key Findings & Data:The performance optimizations necessary for speeding up matching are detailed.
💡
Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bilgisayarlı görü · Nesne arama · Artırılmış gerçeklik

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.

Özet

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.

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Cite This Article

Özuysal, M. (2017). Object detection with BRIEF descriptors and locality sensitive matching for augmented reality. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 23 - Sayı: 5, 588–596. https://ajindex.com/articles/42497

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