@inproceedings{fde7521e22a64f1786ab0bb33b7de177,
title = "Adaptive multi-window matching method for depth sensing SOC and its vlsi implementation",
abstract = "This paper presents the full VLSI implementation of adaptive multi-window matching method for depth sensing system on a chip (SoC) based on active infrared structured light, which estimates the 3D scene depth by matching randomized speckle patterns, akin to the Microsoft Kinect. We present a simple and efficient hardware structure for the adaptive multi-window block-matching-disparity estimation algorithm, which facilitates rapid generation of disparity maps in real-time. Then the disparity map is calculated to the depth value according to the triangulation principle. We have implemented these ideas in an end-to-end SoC using FPGA and demonstrate that our depth sensing SoC can ensure the matching accuracy and improve the details of depth maps, such as, small objects and the edge of objects.",
keywords = "Depth sensing SoC, Multi-window matching, VLSI",
author = "Huimin Yao and Chenyang Ge and Liuqing Yang and Yichuan Fu and Jianru Xue",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th Pacific-Rim Conference on Multimedia, PCM 2016 ; Conference date: 15-09-2016 Through 16-09-2016",
year = "2016",
doi = "10.1007/978-3-319-48890-5\_42",
language = "英语",
isbn = "9783319488899",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "428--437",
editor = "Enqing Chen and Yun Tie and Yihong Gong",
booktitle = "Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings",
}