Dense Disparity Map Extraction Method Based on Improved Convolutional Neural Network

Dongzhen Huang; Qin Zhao; Huawei Liu; Baoqing Li; Xiaobing Yuan

doi:10.3788/LOP55.121004

Laser & Optoelectronics Progress, Volume. 55, Issue 12, 121004(2018)

Dense Disparity Map Extraction Method Based on Improved Convolutional Neural Network

Dongzhen Huang^1,2, Qin Zhao^1,2, Huawei Liu¹, Baoqing Li¹, and Xiaobing Yuan^1、*

¹ Key Laboratory of Microsystem Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China

² University of Chinese Academy of Sciences, Beijing 100049, China

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Dongzhen Huang, Qin Zhao, Huawei Liu, Baoqing Li, Xiaobing Yuan. Dense Disparity Map Extraction Method Based on Improved Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121004

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Paper Information

Category: Image Processing

Received: May. 4, 2018

Accepted: Jun. 8, 2018

Published Online: Aug. 1, 2019

The Author Email: Xiaobing Yuan (sinowsn@mail.sim.ac.cn)

DOI:10.3788/LOP55.121004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology