eprintid: 1054
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/10/54
datestamp: 2023-11-09 15:49:12
lastmod: 2023-11-09 15:49:12
status_changed: 2023-11-09 15:38:56
type: conference_item
metadata_visibility: show
creators_name: Siddique, M.T.
creators_name: Zakaria, M.N.
title: 3D reconstruction of geometry from 2D image using Genetic Algorithm
ispublished: pub
keywords: 2D images; 3D models; 3D object; 3D primitive; 3D reconstruction; Conventional methods; Geometric objects; Random Model; Target object, Genetic algorithms; Information technology; Spheres, Three dimensional
note: cited By 2; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915
abstract: This paper presents an approach to reconstruct 3D objects using Genetic Algorithm (GA) from a 2D image. In the proposed method GA evolve 3D initial models to a target object by means of comparisons between images generated from the models and image of target object. Promising results were achieved reconstructing simple 3D geometric objects. This technique is useful for creating random model by using 3D primitives. For initial experiments we have selected sphere, cube, and cone. The experimental results shows that proposed method generate 3-D model automatically as compared to conventional methods for generating 3-D models. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049406455&doi=10.1109%2fITSIM.2010.5561294&partnerID=40&md5=720cad65dffce20eced14b3e24e28bde
id_number: 10.1109/ITSIM.2010.5561294
full_text_status: none
publication: Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10
volume: 1
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424467181
citation:   Siddique, M.T. and Zakaria, M.N.  (2010) 3D reconstruction of geometry from 2D image using Genetic Algorithm.  In: UNSPECIFIED.