Multilayer feedforward networks are universal approximators
Neural Networks
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Teddy: a sketching interface for 3D freeform design
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Estimating depth from line drawing
Proceedings of the seventh ACM symposium on Solid modeling and applications
Sketch- and constraint-based design of B-spline surfaces
Proceedings of the seventh ACM symposium on Solid modeling and applications
3D object reconstruction and representation using neural networks
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Interactive modelling from sketches using spherical implicit functions
AFRIGRAPH '04 Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
Surface creation on unstructured point sets using neural networks
Computer-Aided Design
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A novel intelligent approach into 3D freeform surface reconstruction from planar sketches is proposed. A multilayer perceptron (MLP) neural network is employed to induce 3D freeform surfaces from planar freehand curves. Planar curves were used to represent the boundaries of a freeform surface patch. The curves were varied iteratively and sampled to produce training data to train and test the neural network. The obtained results demonstrate that the network successfully learned the inverse-projection map and correctly inferred the respective surfaces from fresh curves.