Arca detection and matching using Scale Invariant Feature Transform (SIFT) method of stereo camera

Aviv Yuniar Rahman; Surya Sumpeno; Mauridhi Hery Purnomo

doi:10.1109/ICSIIT.2017.45

Arca detection and matching using Scale Invariant Feature Transform (SIFT) method of stereo camera

Closed

Aviv Yuniar Rahman, Surya Sumpeno, Mauridhi Hery Purnomo

2017 Proceedings - 2017 International Conference on Soft Computing, Intelligent System and Information Technology: Building Intelligence Through IOT and Big Data, ICSIIT 2017 Vol. 2018-January Conference paper Cited by 10

Abstract

Arca refers to ancient statues, which belong to Indonesian National Heritage and should be preserved. They are made of stones and woods. Many of arcas found in Indonesia are damaged by human hands and natural disasters. One of the solutions to preserve them is by reconstructing them in form of digital data. The process of 3D formation employs stereo camera detection and matching. Study on statues detection and matching using scale invariant feature transform (SIFT) method of stereo camera has never been done before in Indonesia. The purpose of this study is to detect and match simulation of arca objects. There are two data used in the simulation. They are Arca Ganesha and Arca Dewa Tari. The method used in this study is SIFT matching. The best result of the test is performed by Arca Dewa Tari with 9 keypoint features detected from the stereo camera. © 2017 IEEE.

Affiliations

Department of Electrical Engineering, Widyagama University, Malang, Indonesia; Dept. of Electrical Eng., Sepuluh Nopember Institute of Technology, Surabaya, Indonesia; Dept. of Computer Eng., Sepuluh Nopember Institute of Technology, Surabaya, Indonesia

View full text (DOI) →

Research at a Glance

Research at a Glance

Topics & SDG Alignment

Collaboration

Author Profile (Selected)

References Overview

Journal & Source

Metadata & Integrity