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Neural Network-Based Stereo Vision Outlier Removal
2022
MATEC Web of Conferences
Stereo vision systems rely on accurate feature matching to provide valid stereo reconstruction and pose estimation. This accuracy is achieved through outlier removal techniques, such as RANSAC. However, images also contain semantic information, which can be extracted using neural networks. This paper proposes an additional outlier removal method, where the images are semantically segmented using a neural network, before the features identified are assigned semantic identifiers using a
doi:10.1051/matecconf/202237007009
fatcat:oob2rdicffgvbjlk7ho4egx5ri