@inproceedings{5ff2a27f609744008de54a80cb8c35ae,
title = "hSGM: Hierarchical pyramid based stereo matching algorithm",
abstract = "In this paper, we propose a variant of Semi-Global Matching, hSGM which is a hierarchical pyramid based dense stereo matching algorithm. Our method aggregates the matching costs from the coarse to fine scale in multiple directions to determine the optimal disparity for each pixel. It has several advantages over the original SGM: a low space complexity and efficient implementation on GPU. We show several experimental results to demonstrate our method is efficient and obtains a good quality of disparity maps.",
keywords = "disparity map, GPU, hierarchical SGM, stereo matching",
author = "Won, {Kwang Hee} and Jung, {Soon Ki}",
year = "2011",
doi = "10.1007/978-3-642-23687-7_62",
language = "English",
isbn = "9783642236860",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "693--701",
booktitle = "Advanced Concepts for Intelligent Vision Systems - 13th International Conference, ACIVS 2011, Proceedings",
note = "13th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2011 ; Conference date: 22-08-2011 Through 25-08-2011",
}