Neural Network Based Reconstruction of a 3D Object from a 2D Wireframe

Details Neural Network Based Reconstruction of a 3D Object from a 2D Wireframe Neural Network Based Reconstruction of a 3D Object from a 2D Wireframe

2010-07-14

arxiv.org/abs/1007.2442v1

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

We propose a new approach for constructing a 3D representation from a 2D wireframe drawing. A drawing is simply a parallel projection of a 3D object onto a 2D surface; humans are able to recreate mental 3D models from 2D representations very easily, yet the process is very difficult to emulate computationally. We hypothesize that our ability to perform this construction relies on the angles in the 2D scene, among other geometric properties. Being able to reproduce this reconstruction process automatically would allow for efficient and robust 3D sketch interfaces. Our research focuses on the relationship between 2D geometry observable in the sketch and 3D geometry derived from a potential 3D construction. We present a fully automated system that constructs 3D representations from 2D wireframes using a neural network in conjunction with a genetic search algorithm.

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