Bezier Surface Reconstruction using Artificial Neural Networks
نویسنده
چکیده
1 Kavita, 2 Navin Rajpal 1 Research Scholar, 2 Professor USICT, Guru Gobind Singh Indraprastha University Delhi, INDIA. _______________________________________________________________________________________ Abstract: Surface Reconstruction forms a key to many image processing and computer graphics applications. In the current work we have focused on the reconstruction of Bezier surfaces from a point cloud. The reconstruction is materialized using the learning and generalization capabilities of Radial Basis Function Neural Networks (RBFNN). The experimental results are shown to establish that RBF networks perform better than the traditional surface fitting methods. The reconstructed surface is a smooth surface approximating the given set of data points. The learning capabilities of RBF networks make surface reconstruction robust to noise and irregularities in sampling of the data.
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