Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO

• Main Authors: Naffouti, S.E., Aouissaoui, I., Fougerolle, Y., Sakly, A., Meriaudeau, F.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020695824&doi=10.1109%2fCEIT.2016.7929021&partnerID=40&md5=b6564185cf6d333d835b87ebbfa711aa; http://eprints.utp.edu.my/20087/
• Institution: Universiti Teknologi Petronas

This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. We select the first feature vector from WKS, which represents the 3D shape over the first energy scale. The choice of this vector...