Derin öğrenme ile 3B nokta bulutlarının sınıflandırılmasına genel bir bakış

Muhammed Ahmet Demirtaş

doi:10.24012/dumf.1067736

Derin öğrenme ile 3B nokta bulutlarının sınıflandırılmasına genel bir bakış

Öz

Nokta bulutu (NB) bir vektör uzayında nesneye ait bilgilerin x,y,z koordinat sisteminde matematiksel olarak temsil edilen noktalar kümesidir. Noktalar kaydedilen uzaysal koordinat sisteminde sınıflandırılarak nesne ya da bir alanı ifade eden anlamsal bilgileri tanımlarlar. 3 boyutlu (3B) nokta bulutu gelişen teknolojilerle beraber nesneleri sınıflandırma, algılama ve tanıma alanlarında son zamanlarda oldukça popüler bir hale gelmiştir. Lazer tarama sistemleri ile taranan nesneler 3B nokta bulutuna dönüştürülmüş ve bu verilerin sanal ortama aktarılması ile farklı veri setleri elde edilmiştir. 3B noktasal verileri derin ağlar ile başarılı bir şekilde sınıflandırmak için geliştirilen yöntemler detaylı olarak incelenmiştir. Nokta bulutlarına 3B koordinat sistemi ile birlikte farklı bilgiler dâhil ederek (derinlik ya da RGB(red-green-blue)) farklı boyutlarda veya farklı yoğunlukta nokta bulutları oluşturulmuştur. Ayrıca nokta bulutu veri kümesindeki her bir noktaya ait; harici veya dâhili bilgiler eklenmiş RGB değerleri ile nesneler renklendirilmiştir. Bu araştırmada 3B nokta bulutunu derin ağlar ile sınıflandıran yöntemlerin başarı performansları, avantajları, dezavantajları analiz edilmiştir. Özellikle uygulanan algoritmalar, denenen yöntemler ve oluşturulan modeller karşılaştırılmış ve tartışılmıştır. Son olarak makalede gelecekteki çalışmalara hız ve yön vermesi için güncel yöntemler kapsamlı bir şekilde sunulmuştur.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

Derleme

Yazarlar

Muhammed Ahmet Demirtaş ^*
0000-0003-4092-7284
Türkiye

Yayımlanma Tarihi

30 Mart 2022

Gönderilme Tarihi

3 Şubat 2022

Kabul Tarihi

25 Mart 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 13 Sayı: 1

DOI

https://doi.org/10.24012/dumf.1067736

IZ

https://izlik.org/JA67JX64EA

Kaynak Göster

RIS / Bibtex

IEEE

[1]M. A. Demirtaş, “Derin öğrenme ile 3B nokta bulutlarının sınıflandırılmasına genel bir bakış”, DÜMF MD, c. 13, sy 1, ss. 1–9, Mar. 2022, doi: 10.24012/dumf.1067736.

Cited By

İnsansız Hava Araçlarında Nokta Bulutu Verisi Kullanılarak İniş Pisti Uygunluk Analizi

Fırat Üniversitesi Mühendislik Bilimleri Dergisi

https://doi.org/10.35234/fumbd.1393959