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