Title :
Mixed-reality snapshot system using environmental depth sensors
Author :
Tsuru, H. ; Kitahara, Itaru ; Ohta, Yoshichika
Author_Institution :
Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba, Japan
Abstract :
This paper proposes a method to merge the real and virtual world in snapshots captured by a mobile camera. While snapshots are usually captured in a dynamic scene that temporally changes the appearance, we developed a pose estimation method for a mobile camera by using depth sensors installed in the capturing environment. In order to generate a fine MR (Mixed-Reality) image, our method segments overlapping or overlapped regions by combining a graph-cut technique and captured depth data. A pilot system is presented to confirm the effectiveness of our proposed methods.
Keywords :
graph theory; image processing; pose estimation; virtual reality; dynamic scene; environmental depth sensor; graph-cut technique; mixed-reality snapshot system; mobile camera; pose estimation; Cameras; Color; Estimation; Image segmentation; Mobile communication; Sensors; Virtual reality;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4