Neural Networks - Special issue: automatic target recognition
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Gabor Wavelet Networks for Object Representation
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Automatic reconstruction of 3D objects using a mobile monoscopic camera
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Correlation-based reconstruction of a 3D object from a single freehand sketch
ACM SIGGRAPH 2007 courses
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Freeform surface inference from sketches via neural networks
Neurocomputing
3D freeform surfaces from planar sketches using neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A neural network strategy for 3d surface registration
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
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3D object reconstruction is frequent used in various fields such as product design, engineering, medical and artistic applications. Numerous reconstruction techniques and software were introduced and developed. However, the purpose of this paper is to fully integrate an adaptive artificial neural network (ANN) based method in reconstructing and representing 3D objects. This study explores the ability of neural networks in learning through experience when reconstructing an object by estimating it's z-coordinate. Neural networks' capability in representing most classes of 3D objects used in computer graphics is also proven. Simple affined transformation is applied on different objects using this approach and compared with the real objects. The results show that neural network is a promising approach for reconstruction and representation of 3D objects.