Semi-dense and robust image registration by shift adapted weighted aggregation and variational completion
作者:
Highlights:
• The disparity adapted weighted aggregation reduces the fattening effect.
• The multi-scale strategy highly decreases errors due to match ambiguities.
• Our local and global methods are robust to additive illumination changes.
• The proposed validation criteria rejects inaccurate estimations.
摘要
•The disparity adapted weighted aggregation reduces the fattening effect.•The multi-scale strategy highly decreases errors due to match ambiguities.•Our local and global methods are robust to additive illumination changes.•The proposed validation criteria rejects inaccurate estimations.
论文关键词:Image correspondences,Stereo,Optical flow,Block-matching,Interpolation
论文评审过程:Received 8 March 2019, Revised 13 June 2019, Accepted 20 July 2019, Available online 1 August 2019, Version of Record 23 August 2019.
论文官网地址:https://doi.org/10.1016/j.imavis.2019.07.005