Grayscale image enhancement for enhancing features detection in marker-less augmented reality technology

• Main Authors: Anggara, Devi Willieam, Mohd. Rahim, Mohd. Shafry, Ismail, Ajune Wanis, Machfiroh, Runik, Budiman, Arif, Rahmansyah, Aris, Dahliyusmanto, Dahliyusmanto, Atan, Noor Azean
• Format: Article
• Language: English
• Published: Little Lion Scientific 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/90015/1/MohdShafryMohdRahim2020_GrayscaleImageEnhancementforEnhancingFeaturesDetection.pdf; http://eprints.utm.my/id/eprint/90015/; http://www.jatit.org/volumes/ninetyeight13.php

Tracking is a fundamental task in Augmented Reality (AR) technology which requires robust real-time to properly adjust real and virtual objects in a single alignment, so that, both objects appear to coexist in the same world. Marker-less tracking has been explored to overcome the limitations of conv...