Real-time generation and high-fidelity visualization of 3D video

Author

Matsuyama, T. ; Wu, X. ; Takai, T.

Author_Institution

Graduate Sch. of Informatics, Kyoto Univ., Japan

fYear

2003

fDate

27-30 Sept. 2003

Firstpage

373

Lastpage

378

Abstract

3D video is the ultimate image medium recording dynamic visual events in the real world as is. Recorded object behaviors can be observed from any viewpoint, because 3D video records the object´s full 3D shape, motion, and precise surface properties (i.e. color and texture). This paper first describes a parallel pipeline processing method for real-time reconstructing dynamic 3D object shape from multi-view video images. Performance evaluation are given to demonstrate its effectiveness. Then, we present an algorithm of generating video texture on the reconstructed dynamic 3D object surfaces from the multi-view video images. Experimental results demonstrate its effectiveness in generating high fidelity object images from arbitrary viewpoints.

Keywords

computer vision; data visualisation; image processing; image reconstruction; parallel processing; pipeline processing; real-time systems; solid modelling; video signal processing; 3D video; dynamic 3D object surface; high-fidelity visualization; image medium recording; image texture; multiview video image; parallel pipeline processing; real-time image generation; real-time image reconstruction; video texture; Image reconstruction; Pipeline processing; Real time systems; Shape; Surface reconstruction; Surface texture; Video recording; Video sharing; Videoconference; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on

Print_ISBN

0-7695-1957-1

Type

conf

DOI

10.1109/ICCIMA.2003.1238154

Filename

1238154