PPV: Pixel-Point-Volume Segmentation for Object Referencing in Collaborative Augmented Reality

@article{Lien2016PPVPS,
  title={PPV: Pixel-Point-Volume Segmentation for Object Referencing in Collaborative Augmented Reality},
  author={Kuo-Chin Lien and Benjamin Nuernberger and Tobias H{\"o}llerer and Matthew Turk},
  journal={2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
  year={2016},
  pages={77-83}
}
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… CONTINUE READING