In this paper, we present a new neural network (NN) for three-dimensional (3D) shape reconstruction. This NN provides an analytic mapping of an initial 3D polyhedral model into its projection depth images. Through this analytic mapping, the NN can analytically refine vertices position of the model u
β¦ LIBER β¦
A neural matching algorithm for 3-D reconstruction from stereo pairs of linear images
β Scribed by Y. Ruichek; J.-G. Postaire
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 823 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0167-8655
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