TY  - CONF
CY  - Kuala Lumpur
AV  - none
N1  - 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
N2  - 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.
KW  - 2D images; 3D models; 3D object; 3D primitive; 3D reconstruction; Conventional methods; Geometric objects; Random Model; Target object
KW  -  Genetic algorithms; Information technology; Spheres
KW  -  Three dimensional
ID  - scholars1054
TI  - 3D reconstruction of geometry from 2D image using Genetic Algorithm
Y1  - 2010///
SN  - 9781424467181
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049406455&doi=10.1109%2fITSIM.2010.5561294&partnerID=40&md5=720cad65dffce20eced14b3e24e28bde
A1  - Siddique, M.T.
A1  - Zakaria, M.N.
VL  - 1
ER  -