Abstract
In this paper, we address the issue of the unbalanced defocus blur problem in stereo vision by a deblurring binocular linkage network. A similarity-enhanced loss function, which regularizes the difference between the output images by disparity warping, is proposed for the left-right sharpness consistency of the outputs. A high match rate is obtained. We test our methods on both synthetic and real data. The experimental results show that our method outperforms the state-of-the-art single and stereo deblurring methods for high accuracy in stereo matching, which is very helpful for long-distance stereo vision measurement.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
