A Comparative Analysis of Feature Extraction Algorithms for Augmented Reality Applications

• Main Authors: Alam, Mir Suhail, Morshidi, Malik Arman, Gunawan, Teddy Surya, Olanrewaju, Rashidah Funke
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2021
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/92220/1/92220_A%20Comparative%20Analysis%20of%20Feature%20Extraction%20Algorithms.pdf; http://irep.iium.edu.my/92220/7/92220_A%20Comparative%20Analysis%20of%20Feature%20Extraction%20Algorithms_Scopus.pdf; http://irep.iium.edu.my/92220/; https://ieeexplore.ieee.org/abstract/document/9526295?casa_token=h0y798rCzEYAAAAA:XfBMIA1-J1WGdvwrmF-bmNW2xjLJHeWTaaq4EwJ9MO-U_xNpRhNYn9Tuu4mCtJgfq6r6s63sPA; https://doi.org/10.1109/ICSIMA50015.2021.9526295
• Institution: Universiti Islam Antarabangsa Malaysia

The algorithms based on image feature detection and matching are critical in the field of computer vision. Feature extraction and matching algorithms are used in many computer vision problems, including object recognition and structure from motion. Each feature detector and descriptor algorithm’s co...