@inproceedings{ee9d6664f94b460ebc13790ec407c436,
title = "Binocular Depth Estimation Based on Diffractive Optical Elements and the Semiglobal Matching Algorithm",
abstract = "Stereo vision is an important approach to obtain depth information from images. Widely known as one kind of passive approaches, conventional binocular stereo vision has been playing an important role in depth estimation field, especially in fine structure recovery. However, when it comes to places without obvious features, the accuracy of image matching is relatively lower. Taking that into consideration, a method combining the encoded structured light that can increase the number of features and binocular stereo vision is proposed. But the calibration of projector is difficult. In view of this, this paper presents a novel scheme by jointly using diffractive optical elements (DOE) to create speckle instead of encoded structured light and the semi-global matching (SGM) algorithm to improve the accuracy and efficiency of depth maps. Our experimental results showed that the proposed method can improve the quality of disparity maps comparable to the state of art stereo methods.",
keywords = "Binocular camera, DOE, Depth estimation, SGM, Stereo matching",
author = "Chen Zhang and Lifeng Wang and Zhijun Meng",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",
year = "2018",
month = oct,
day = "15",
doi = "10.1109/ICIVC.2018.8492892",
language = "英语",
series = "2018 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "504--508",
booktitle = "2018 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018",
address = "美国",
}