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

Volume

2

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

1141

Lastpage

1145

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.290

Filename

4722254