Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
527522 | Image and Vision Computing | 2007 | 6 Pages |
Abstract
Using Neural Networks, this paper present a method of generating virtual images under virtual lighting conditions. The relationship between the lighting conditions and the color of image is non-linear, several neural networks technologies are introduced to make curve fitting. As a result, virtual images of same scene under different lighting conditions can be deduced from known real scene image, and the inherent relations of image color and outside lighting conditions are discovered. Combining techniques of IBMR or panoramic image, the model of scene is recovered. Further, combining the dynamic virtual images obtained by our method, time-sequence dynamic virtual scene can be reconstructed and revisited in virtual reality.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Zhanwei Li, Guolin Duan, Jizhou Sun, Xinran Lv,