@inproceedings{ae926bd7d62f46178a08415fa76e8646,
title = "Semi-automatic depth map extraction method for stereo video conversion",
abstract = "This paper present a semi-automatic method aimedto 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 = "2d to 3d conversion, Depth estimation, Foreground detection",
author = "Tsai, {Tsung Han} and Fan, {Chen Shuo} and Huang, {Chih Chi}",
year = "2012",
doi = "10.1109/ICGEC.2012.131",
language = "???core.languages.en_GB???",
isbn = "9780769547633",
series = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",
pages = "340--343",
booktitle = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",
note = "2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 ; Conference date: 25-08-2012 Through 28-08-2012",
}