0 references
VR object composition method using stereo vision
2006pp. 5 pp.–5 pp.
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.
Related Papers
- → A performance study of image segmentation techniques(2015)53 cited
- → Texture classification based on succolarity(2013)14 cited
- → New discrepancy measures for segmentation evaluation(2004)21 cited
- → A review paper on image segmentation techniques based on colour and texture features(2023)1 cited
- → Comprehensive study of Multi heuristic image segmentation techniques(2019)