Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Inverse global illumination: recovering reflectance models of real scenes from photographs
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Rendering with concentric mosaics
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
A general regression neural network
IEEE Transactions on Neural Networks
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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.