A Joint 2D-3D Complementary Network for Stereo Matching

A Joint 2D-3D Complementary Network for Stereo Matching

Stereo matching is an important research field of computer vision. Due to the dimension of cost aggregation, current neural network-based stereo methods are difficult to trade-off speed and accuracy. To this end, we integrate fast 2D stereo methods with accurate 3D networks to improve performance an...

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Bibliographic Details
Main Authors: Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan, Libo Huang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
stereo matching
depth estimation
computer vision
Online Access:https://www.mdpi.com/1424-8220/21/4/1430

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