End-to-end dense stereo matching based on full convolutional neural network

doi:10.11947/j.AGCS.2022.20200583

Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (5): 785-785.doi: 10.11947/j.AGCS.2022.20200583

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End-to-end dense stereo matching based on full convolutional neural network

KANG Junhua

School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710064, China

Received:2020-12-10 Online:2022-05-20 Published:2022-05-28

Abstract

CLC Number:

P232

KANG Junhua. End-to-end dense stereo matching based on full convolutional neural network[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(5): 785-785.

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End-to-end dense stereo matching based on full convolutional neural network

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