Abstract
In this article, two fully implemented algorithms for reconstructing 3-D object models based on two or more 2-D boundaries is introduced. Assuming that the 2-D pixel-based boundaries are generated by using boundary detection algorithms in the image preprocessing session (which is beyond the scope of this article), the 3-D reconstruction goes through two stages. First, the linear regression based line-segmentation algorithm is applied to convert each original pixel-based boundary to a best-fit line segment based polygonal boundary. Then, the 3-D surface reconstruction algorithm is used to cover the surface between each pair of neighboring polygonal boundaries. An important feature of our approach is that it allows easy control of the resolution of the reconstructed 3-D models by setting the error-threshold in the line-segmentation algorithm
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.
