Title :
A Virtual Object Generation Method Based on Image Vector Recognition
Author :
Dawei, Chen ; Zhiling, Ma ; Xiping, Yang
Author_Institution :
Sch. of Electron. & Inf. Eng., SCUT Guangzhou, Guangzhou
Abstract :
A new virtual object generation method for AR applications based on image vector recognition is introduced in this paper. During the whole process, data acquiring and virtual object generation are completed automatically, including image smoothing, image edge detection, target silhouette tracking, vector curve compression and real-time rendering. This method improved the degree of automation of virtual object generation in AR applications rather than using pre-built models with digital content creation software. The key steps of the approach are described in detail and a practical application is also given.
Keywords :
augmented reality; data compression; edge detection; image coding; rendering (computer graphics); smoothing methods; target tracking; augmented reality; image edge detection; image smoothing; image vector recognition; real-time rendering; target silhouette tracking; vector curve compression; virtual object generation method; Application software; Automation; Gaussian noise; Image coding; Image edge detection; Image recognition; Kernel; Layout; Smoothing methods; Target tracking; augmented reality; edge detection; imge vector recogintion; virtual object generation;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.290
