Title :
Semi-automatic Depth Map Extraction Method for Stereo Video Conversion
Author :
Tsung-Han Tsai ; Chen-Shuo Fan ; Chih-Chi Huang
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Taoyuan, Taiwan
Abstract :
This paper present a semi-automatic method aimed to generate stereoscopic views estimating depth information from a single input video frame and decrease computation resources. Firstly, background modeling divides a 2D video into static background scene and moving object. By the viewer´s acquired monocular depth cue, the user-defined points in the static scene are used to extract vanishing line. Then, the background depth map is determined and the moving objects are assigned depth values according to their position in the static scene. Finally, the motion based depth map and the geometry based map are integrated into one depth map by a depth fusion algorithm. Combining the depth map from this work and original 2D video can produce vivid 3D video.
Keywords :
feature extraction; image fusion; image motion analysis; natural scenes; stereo image processing; video signal processing; 2D video; background depth map determination; background modeling; depth fusion algorithm; depth information estimation; depth value; geometry-based map; monocular depth cue; motion-based depth map; moving object; semiautomatic depth map extraction method; single input video frame; static background scene; stereo video conversion; stereoscopic view generation; user-defined points; vanishing line extraction; Adaptation models; Computational modeling; Conferences; Estimation; Gaussian distribution; Geometry; Object detection; 2D to 3D conversion; depth estimation; foreground detection;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.131