Paper Info
Title
Efficient 3D content authoring framework based on mobile AR
Abstract
Many applications for generating and authoring 3D content are dependent on interaction and visualization on a 2D screen. There have been various applications using 3D interaction to overcome the limited interaction in 2 dimensional space. Those applications, however, require special hardware [13] for interaction or marker-based techniques for scene recognition and tracking. Both approaches make the applications less intuitive and uncomfortable especially when one creates and manages 3D objects in the content. In order to overcome these limitations, in this paper we propose a novel application that creates 3D content such as 3D animations and 3D movies. In our method we make use of Augmented Reality (AR) techniques and hand gesture recognition in 3D AR space. To obtain the specific information of an open set, we use real-time object recognition and marker-less tracking based on the generic randomized forest (GRF) method, which facilitates the use of mobile devices like ultra-mobile PCs (UMPCs) for generating 3D content. Since in general it is difficult to generate realistic 3D content on the mobile devices in real-time, we apply a server-client model to our application so as to separate content construction and scene generation. Based on the techniques mentioned above, we develop an interactive and easy-to-use AR application using a natural user interface (NUI) to make 3D content for not only experts in the related fields but also for general users; we show the novelty and the efficiency of our proposed approach via making a short 3D animation.
Year
DOI
Venue
2012
10.1109/VSMM.2012.6365912
VSMM
Keywords
Field
DocType
mobile devices,mobile ar technique,3d content generation,3d interaction,generic randomized forest,3d content authoring framework,scene tracking,user interfaces,marker-less tracking,umpc,2d screen interaction,computer animation,hand gesture recognition,mobile ar,3d animation,server-client model,content management,content construction,image classification,augmented reality,data visualisation,object tracking,2d screen visualization,screens (display),object recognition,scene recognition,nui,client-server systems,ultra-mobile pc,gesture recognition,authoring framework,natural user interface,generic randomized forest method,real-time object recognition,mobile computing,grf method,augmented reality technique,3d ar space,scene generation
Mobile computing,Computer vision,Computer science,Gesture recognition,Augmented reality,Video tracking,3D interaction,Artificial intelligence,Content management,User interface,Natural user interface,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4673-2563-9
0
0.34
References 
Authors
8
6
Name
Order
Citations
PageRank
Sang-Wook Lee1102.62
Jinki Jung2337.50
Jihye Hong391.23
Suwon Lee4236.28
Hyunwoo Cho551165.95
Hyun Seung Yang620034.21