Visible Portion Estimation of Moving Target Objects for Networked Wearable Augmented Reality

This paper describes a new visible portion estimation method of moving target object for networked wearable augmented reality (AR) system. In annotation overlay applications using AR systems, it is important to improve readability and intelligibility of annotations in a user’s view. View management makes it possible to appropriately generate annotation overlay images for users so as to intuitively understand annotations. For instance, overlappings of annotations and other objects can be prevented by using a view management technique. View management requires visible portions of 3D target objects in a 2D view plane. This paper proposes a visible portion estimation method for moving target objects based on positions and shapes of the moving target objects. The wearable augmented reality system obtains positions of target objects via wireless network for estimating visible portions of target objects in the user’s view. Annotations are able to be overlaid by using view management techniques with our proposed visible portion estimation.

[1]  Ronald Azuma,et al.  Evaluating label placement for augmented reality view management , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

[2]  Hideo Saito,et al.  Texture overlay for virtual clothing based on PCA of silhouettes , 2006, 2006 IEEE/ACM International Symposium on Mixed and Augmented Reality.

[3]  Steven K. Feiner,et al.  A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment , 1997, Digest of Papers. First International Symposium on Wearable Computers.

[4]  Naokazu Yokoya,et al.  A Localization System Using Invisible Retro-reflective Markers , 2005, MVA.

[5]  Naokazu Yokoya,et al.  Intuitive annotation of user-viewed objects for wearable AR systems , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[6]  Naokazu Yokoya,et al.  Personal Information Annotation on Wearable Computer Users with Hybrid Peer-to-Peer Communication , 2006, ICAT.

[7]  Kiyoshi Kiyokawa,et al.  A study of depth visualization techniques for virtual annotations in augmented reality , 2005, IEEE Proceedings. VR 2005. Virtual Reality, 2005..

[8]  Fan Zhang,et al.  Dynamic labeling management in virtual and augmented environments , 2005, Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05).

[9]  Steven K. Feiner,et al.  View management for virtual and augmented reality , 2001, UIST '01.

[10]  Steven K. Feiner,et al.  Information at a Glance , 2002, IEEE Computer Graphics and Applications.