Title :
Research on 3D objects reconstruction system from 2D input based on GA-BP neural network
Author :
Sun, Guangmin ; Wang, Chun ; Wang, Yangye ; Xu, Lei
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
With the development of computer aided design technique,3D reconstruction from 2D input has been widely used in the research of computer vision. Plentiful works have been done in three orthographic views, in this paper a new method is introduced under single 2D input. The system in this paper aims at the reconstruction of useful objects in computer design. Angle histogram and corner detector are used in this system to extract feature and size the object respectively, then GA-BP neural network is used to deal with the relationship between the features and 3D objects. This system is developed on the basis of Microsoft Foundation Classes and Open Inventor 5.0 by Mercury. Examples and experimental results are shown in this paper.
Keywords :
backpropagation; feature extraction; genetic algorithms; image reconstruction; neural nets; object detection; statistical analysis; 3D object reconstruction system; GA-BP neural network; Microsoft Foundation Classes; Open Inventor 5.0; angle histogram; backpropagation; computer vision; corner detector; feature extraction; genetic algorithm; Computer networks; Computer vision; Detectors; Histograms; Image edge detection; Image reconstruction; Neural networks; Object detection; Smoothing methods; Wire; 3D reconstruction; GA-BP network; angle histogram; corner detector;
Conference_Titel :
Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
Conference_Location :
Osaka
Print_ISBN :
978-1-4244-7298-7
DOI :
10.1109/INDIN.2010.5549707
