Name
Title | ||
|---|---|---|
PPV: Pixel-Point-Volume Segmentation for Object Referencing in Collaborative Augmented Reality |
Abstract | ||
|---|---|---|
We present a method for collaborative augmented reality (AR) that enables users from different viewpoints to interpret object references specified via 2D on-screen circling gestures. Based on a user's 2D drawing annotation, the method segments out the userselected object using an incomplete or imperfect scene model and the color image from the drawing viewpoint. Specifically, we propose a novel segmentation algorithm that utilizes both 2D and 3D scene cues, structured into a three-layer graph of pixels, 3D points, and volumes (supervoxels), solved via standard graph cut algorithms. This segmentation enables an appropriate rendering of the user's 2D annotation from other viewpoints in 3D augmented reality. Results demonstrate the superiority of the proposed method over existing methods. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ISMAR.2016.21 | 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) |
Keywords | Field | DocType |
H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems—Artificial,augmented,and virtual realities | Cut,Computer vision,Scale-space segmentation,Segmentation,Computer science,Segmentation-based object categorization,Augmented reality,Image segmentation,Artificial intelligence,Rendering (computer graphics),Multimedia,Color image | Conference |
ISSN | ISBN | Citations |
1554-7868 | 978-1-5090-3642-4 | 0 |
PageRank | References | Authors |
0.34 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuo-Chin Lien | 1 | 95 | 6.46 |
| Benjamin Nuernberger | 2 | 102 | 5.91 |
| Tobias Höllerer | 3 | 2666 | 244.50 |
| Matthew Turk | 4 | 3724 | 499.42 |