DocumentCode :
1692282
Title :
VR object composition method using stereo vision
Author :
Sugita, Kaoru
Author_Institution :
Dept. of Inf. & Commun. Eng., Fukuoka Inst. of Technol., Japan
Volume :
2
fYear :
2006
Abstract :
In this paper, we propose a VR object composition method using stereo vision. In this method, a VR object is composed of 3D model and desired texture image. This method is organized by a 3D model reconstruction and texture segmentation. Firstly, stereo images and texture image are captured from a real object. Secondly, a 3D model is reconstructed by stereo images. Thirdly, segmentation is applied to a texture image based on color cluster. Finally, 3D model is displayed with segmented texture images. The 3D model can exchange a piece of texture image for a desired image. Using this method, the user can simulate replacing the appearance of real object such as renovation of his/her room and wearing clothes.
Keywords :
computer vision; image colour analysis; image reconstruction; image segmentation; image texture; object detection; stereo image processing; 3D model reconstruction; VR object composition method; color cluster; image reconstruction; image segmentation; stereo image; stereo vision; texture image; Design methodology; Image edge detection; Image generation; Image reconstruction; Image segmentation; Motion pictures; Process design; Stereo image processing; Stereo vision; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on
ISSN :
1550-445X
Print_ISBN :
0-7695-2466-4
Type :
conf
DOI :
10.1109/AINA.2006.348
Filename :
1620459
Link To Document :
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