10 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Soft Computing, Intelligent System and Information Technology
Subtitle of host publicationBuilding Intelligence Through IOT and Big Data, ICSIIT 2017
EditorsHenry Novianus Palit, Leo Willyanto Santoso
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages66-71
Number of pages6
ISBN (Electronic)9781467398992
DOIs
Publication statusPublished - 2 Jul 2017
Event5th International Conference on Soft Computing, Intelligent System and Information Technology, ICSIIT 2017 - Denpasar, Bali, Indonesia
Duration: 26 Sept 201729 Sept 2017

Publication series

NameProceedings - 2017 International Conference on Soft Computing, Intelligent System and Information Technology: Building Intelligence Through IOT and Big Data, ICSIIT 2017
Volume2018-January

Conference

Conference5th International Conference on Soft Computing, Intelligent System and Information Technology, ICSIIT 2017
Country/TerritoryIndonesia
CityDenpasar, Bali
Period26/09/1729/09/17

Keywords

  • 3D reconstruction
  • Arca detection
  • SIFT
  • arca matching
  • feature matching
  • object detection
  • stereo cameras

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