Title

(Μ + Λ) Evolutionary Strategy For 3D Modeling And Segmentation With Superquadrics

Keywords

(μ+ λ) evolutionary strategy; 3D modeling and segmentation; Superquadric seeds; The nearest neighboring merging

Abstract

For the discrete and irregular data points, a new method of 3D modeling and segmentation was proposed. By using the superquadric parametric models as initial seeds, the best initial seeding state was obtained based on the (μ + λ) evolutionary strategy, then the nearest neighboring approach was utilized for efficient merging and segmentation of those best initial seeds. Experimental results show that the proposed method can not only achieve the effective modeling and segmentation, but also obtain the topologic relation among the object parts, which is useful for recognition of 3D objects.

Publication Date

1-1-2007

Publication Title

Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics

Volume

19

Issue

8

Number of Pages

1002-1008

Document Type

Article

Personal Identifier

scopus

Socpus ID

35248836943 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/35248836943

This document is currently not available here.

Share

COinS