Edge supervision and multi-scale cost volume for stereo matching

作者：

Highlights：

• Innovatively generate a dataset for edge detection and stereo matching.

• Incorporate edge detection clues into the disparity estimation.

• Enlarge receptive field and capture global information by a multi-scale cost volume.

• Optimize the initial disparity for the sake of robustness to challenging regions.

摘要

Highlights•Innovatively generate a dataset for edge detection and stereo matching.•Incorporate edge detection clues into the disparity estimation.•Enlarge receptive field and capture global information by a multi-scale cost volume.•Optimize the initial disparity for the sake of robustness to challenging regions.

论文关键词：Stereo matching,Geometric constraints,Multi-scale cost volume,Disparity refinement network

论文评审过程：Received 16 September 2021, Revised 2 November 2021, Accepted 3 November 2021, Available online 9 November 2021, Version of Record 20 November 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2021.104336