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Occlusion-Robust Marker-Based Augmented Reality Using Particle Swarm Optimization  

Park, Hanhoon (부경대학교 전자공학과)
Choi, Junyeong (현대자동차 인간편의연구팀)
Moon, Kwang-Seok (부경대학교 전자공학과)
Publication Information
Journal of the HCI Society of Korea / v.11, no.1, 2016 , pp. 39-45 More about this Journal
Abstract
Effective and efficient estimation of camera poses is a core method in implementing augmented reality systems or applications. The most common one is using markers, e.g., ARToolkit. However, use of markers suffers from a notorious problem that is vulnerable to occlusion. To overcome this, this paper proposes a top-down method that iteratively estimates the current camera pose by using particle swarm optimization. Through experiments, it was confirmed that the proposed method enables to implement augmented reality on severely-occluded markers.
Keywords
Marker-based camera tracking; occlusion handling; model-based marker tracking; particle swarm optimization; Chamfer distance; ARToolkit;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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