Abstract
This paper derives the disparity-blur equation, which describes an explicit relationship between stereo disparity and blur and thereby suggests a method for depth estimation by combining the two quantities. Because disparity and blur are two different aspects of the same 3D point, a direct geometric relationship in the image plane exists between them. Ordinary methods usually separately compute disparity from stereo image pairs, and a blur circle from a defocused image, and then to combine them to achieve depth estimation. Instead, the disparity-blur equation can be used as a constraint for computing disparity and blur together. We confirmed the validity of this concept by experiments both with synthetic and natural images.
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 callMore From: International Journal of Applied Research on Information Technology and Computing
Disclaimer: 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.
