@inproceedings{40ce4420632a4804a49197ae4e228724,
title = "Object distance estimation based on stereo vision and color segmentation with region matching",
abstract = "Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.",
author = "Guangming Xiong and Xin Li and Junqiang Xi and Fowers, \{Spencer G.\} and Huiyan Chen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2010.; 6th International Symposium on Visual Computing, ISVC 2010 ; Conference date: 29-11-2010 Through 01-12-2010",
year = "2010",
doi = "10.1007/978-3-642-17277-9\_38",
language = "English",
isbn = "9783642172762",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "368--376",
editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ronald Chung and Riad Hammound and Muhammad Hussain and Tan Kar-Han and Roger Crawfis and Daniel Thalmann and David Kao and Lisa Avila",
booktitle = "Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings",
address = "Germany",
}