Title :
Semi-Automatic 2D to 3D Video Conversion Based on Relative Velocity Estimation
Author :
Tsung-Han Tsai ; Chen-Shuo Fan
Author_Institution :
Electr. Eng. of Nat. Central Univ., Chungli, Taiwan
Abstract :
we propose a semi-automatic method for requiring low computation resources and precisely generating depth map using on 2D to 3D conversion. Firstly, the user-defined points in the first frame background scene of 2D video sequence are used to extract vanishing line. Then, the background depth map is determined by vanishing line tracking and the moving objects are assigned with depth values according to their position in the background. Finally, the motion based depth map and the geometry based map are integrated into one depth map by a depth fusion algorithm. With the depth map and original 2D video, a 3D video is constructed.
Keywords :
feature extraction; image fusion; image motion analysis; image sequences; tracking; video signal processing; 2D video sequence; background depth map; depth fusion algorithm; depth map generation; geometry based map; motion based depth map; relative velocity estimation; semiautomatic 2D to 3D video conversion; user-defined points; vanishing line extraction; vanishing line tracking; Conferences; Estimation; Filling; Three-dimensional displays; Tracking; Vectors; Video sequences;
Conference_Titel :
Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on
Conference_Location :
Oxford
DOI :
10.1109/MobileCloud.2014.39