Anggara, Devi Willieam and Rahim, Mohd Shafry Mohd and Ismail, Ajune Wanis and Wong, Seng Yue and Ismail, Nor Anita Fairos and Machfiroh, Runik and Budiman, Arif and Rahmansyah, Aris and Dahliyusmanto (2022) Integrated colormap and ORB detector method for feature extraction approach in augmented reality. Multimedia Tools and Applications, 81 (25). pp. 35713-35729. ISSN 1380-7501, DOI https://doi.org/10.1007/s11042-022-13548-x.
Full text not available from this repository.Abstract
Augmented Reality (AR) is a technology that addition of virtual objects into the real-world environment. AR technology uses images recognition approaches to recognize objects. The objects can be easily recognized if rich in details, have good contrast, and have no repetitive patterns. A feature-based technique called Natural Feature Tracking (NFT) system can be used to recognize physical objects in markerless AR. The features such as blob, edge, and corner in the object are extracted by the feature detector and descriptor before recognizing process. The extraction feature is the most important thing in the recognition process because it can determine accurate results. ORB detector is a feature extractor were suitable for real-time tracking in AR because it has speed, efficiency, and a high quantity of features detected and extracted. However, before detecting and describing the features, ORB detector uses the Grayscale Image Generation (GIG) process to change color images into grayscale images. We found some features extracted using the GIG process not extracted perfectly. ORB detector is influenced by the intensity of the grayscale pixel to find the candidate corner. The proposed integration of the Colormap technique and ORB detector method can enhance feature extraction for improving features detection in AR.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Teknologi Malaysia [R.J130000.7308.4B429] [Q.J130000.3051.01 M37] [Q.J130000.3008.01 M88], Fundamental Research Grant (FRGS) by Ministery of Higher Education Malaysia [FRGS/1/2020/ICT10/UTM/01/1] [R.J130000.7808.5F368] |
| Uncontrolled Keywords: | Image processing; ORB detector; Colormap; NFT; Augmented reality |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Centre for Internship & Academic Enrichment (CITRA) |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 13 Sep 2023 04:28 |
| Last Modified: | 13 Sep 2023 04:28 |
| URI: | http://eprints.um.edu.my/id/eprint/41198 |
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