Abstract
The present paper describes an original technique developed for detecting and matching unknown planar structures between a pair of uncalibrated images. Problems related to bad segmentation or to occlusion are automatically solved in most cases. The match process works hierarchically on pertinent point which provide local consistency and on contours which ensure the global consistency. After matching, contours are split into planar contour according to collineations. Tests made over different pairs of images demonstrate the efficiency of our approach.
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.
