Level-of-Detail AR: Managing Points of Interest for Attentive Augmented Reality

Title
Level-of-Detail AR: Managing Points of Interest for Attentive Augmented Reality
Authors
성민혁최용민고희동황재인
Issue Date
2014-01
Publisher
ICCE (International Conference on Consumer Electronics)
Citation
, 345-346
Abstract
In this paper, we present level-of-detail (LOD) augmented reality (AR), which is a novel approach to handling multi-layered information of the target image. Previously, multitarget recognition and tracking methods were used to handle augmentation in a complex scene. In more complex situations, when the target can be divided into depth-based layers, it is not feasible to simply employ multi-target methods. To overcome this problem, we propose a tree structure of points of interest (POI) and a practical method that identifies the parts that attract maximum user attention. We demonstrate the feasibility of our approach by implementing a mobile LOD AR system that handles very large targets that are commonly encountered in real-world situations such as in museums.
URI
http://pubs.kist.re.kr/handle/201004/47115
Appears in Collections:
KIST Publication > Conference Paper
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