Abstract
We present a trilateral scan integration method to extract a desirable single-layer, smooth, detailed point set surface. A density adaptive overlapping areas detection algorithm is developed to detect overlapping points in raw scans. Subsequently, a variant trilateral filter is designed to shift the overlapping points to a single layer surface as well as reduce noises and outliers. Finally, a mean-shift clustering scheme is employed to gather corresponding points iteratively, and the local maxima model replaces members in the stable cluster, thereby removing redundancies. Experimental results demonstrate the superiority of the new method.
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.
