Abstract
The shape reconstruction problem is one of important and most applied problems in many branches of computer science. In this paper a new method is introduced which a graph as output and work on boundary samples as input, in the plan. The proposed method starts reconstruction from the random polygon production on input points and by calculating the Euclidean distance between points, it produces a set of new points. By adding produced points to the initial points and implementation of algorithm on a set of final point, this approach performs the shape reconstruction process. This method reduces reconstruction error compared to the initial shape and improves the process of shape reconstruction.
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.
