@inbook{5a85fa1fce934892a406df8a78e16342,
title = "A High Performance Parallel Graph Cut Optimization for Depth Estimation",
abstract = "Graph-cut has been proved to return good quality on the optimization of depth estimation. Leveraging the parallel computation has been proposed as a solution to handle the intensive computation of graph-cut algorithm. This pa-per proposes two parallelization techniques to enhance the execution time of graph-cut optimization. By executing on an Intel 8-core CPU, the proposed scheme can achieve an average of 4.7 times speedup with only 0.01% energy increase.",
keywords = "Depth estimation, Graph cut, Parallelization, Stereo correspondence",
author = "Chen, {Bo Yen} and Bo-Cheng Lai",
year = "2013",
doi = "10.1007/978-3-642-35473-1_31",
language = "English",
isbn = "9783642354724",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "311--320",
booktitle = "Advances in Intelligent Systems and Applications - Volume 2",
address = "德國",
}