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Enhance Object Tracking on Augmented Reality Markerless using FAST Corner Detection | IEEE Conference Publication | IEEE Xplore

Enhance Object Tracking on Augmented Reality Markerless using FAST Corner Detection


Abstract:

Markerless-based is the method in Augmented Reality (AR) to augmentation 3D objects in the frame. One of the challenges in markerless AR is to extract features as input d...Show More

Abstract:

Markerless-based is the method in Augmented Reality (AR) to augmentation 3D objects in the frame. One of the challenges in markerless AR is to extract features as input data training on markerless AR. One of algorithm for feature extraction of object target is FAST corner detection in image processing. This paper uses FAST corner detection for feature extraction on Augmented Reality Markerless based with the aim to improve performance of augmentation objects in AR. The User Defined Target and Extended Tracking are to improve convenience and reliability of the AR. The aim is can trace 3D objects even the 3D object invisible. The results show that maximum environment for the best augmentation is intensity in of 80-190 cd.
Date of Conference: 24-25 November 2021
Date Added to IEEE Xplore: 30 December 2021
ISBN Information:
Conference Location: Purwokerto, Indonesia

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