Journal of Soft Computing Exploration
Vol. 5 No. 4 (2024): December 2024

Comparative study of marker-based and markerless tracking in augmented reality under variable environmental conditions

Sulistiyono, Mulia (Unknown)
Hasyim, Jaka Wardana (Unknown)
Bernadhed, Bernadhed (Unknown)
Liantoni, Febri (Unknown)
Sidauruk, Acihmah (Unknown)



Article Info

Publish Date
30 Dec 2024

Abstract

Augmented reality (AR) technology integrates virtual content into real environments using two main methods: marker-based and markerless tracking. Marker-based tracking relies on printed markers for object placement, while markerless uses environmental features for flexibility and accuracy. This research aims to evaluate the combined impact of environmental factors-distance, angle, and lighting-on these two methods. The Multimedia Development Life Cycle (MDLC) methodology was applied by testing 72 combinations of indicators: distance (5-120 cm), angle (30°, 45°, 90°), and light color (red, blue, green, yellow) using Xiaomi Note 8 and Google Pixel 4. Results show markerless tracking is superior in all conditions, achieving a 94.4% success rate on both devices. In contrast, marker-based tracking only achieved 72.2% (Xiaomi Note 8) and 77.8% (Google Pixel 4). Markerless tracking was optimally performed from 50 cm away and up close, while marker-based tracking degraded in performance at long distances and red lighting. Markerless tracking proved to be more reliable and consistent, suitable for dynamic and diverse environments, while marker-based methods remained relevant for short distances and controlled lighting. These findings provide guidance for AR developers in choosing a tracking methodology according to application needs.

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Journal Info

Abbrev

joscex

Publisher

Subject

Computer Science & IT

Description

Journal of Soft Computing Exploration is a journal that publishes manuscripts of scientific research papers related to soft computing. The scope of research can be from the theory and scientific applications as well as the novelty of related knowledge insights. Soft Computing: Artificial ...