3D Object Recognition: A Model of View-Tuned Neurons
Abstract
In 1990 Poggio and Edelman proposed a view-based model of ob(cid:173) ject recognition that accounts for several psychophysical properties of certain recognition tasks. The model predicted the existence of view-tuned and view-invariant units, that were later found by Lo(cid:173) gothetis et al. (Logothetis et al., 1995) in IT cortex of monkeys trained with views of specific paperclip objects. The model, how(cid:173) ever, does not specify the inputs to the view-tuned units and their internal organization. In this paper we propose a model of these view-tuned units that is consistent with physiological data from single cell responses.
Cite
Text
Bricolo et al. "3D Object Recognition: A Model of View-Tuned Neurons." Neural Information Processing Systems, 1996.Markdown
[Bricolo et al. "3D Object Recognition: A Model of View-Tuned Neurons." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/bricolo1996neurips-3d/)BibTeX
@inproceedings{bricolo1996neurips-3d,
title = {{3D Object Recognition: A Model of View-Tuned Neurons}},
author = {Bricolo, Emanuela and Poggio, Tomaso and Logothetis, Nikos K.},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {41-47},
url = {https://mlanthology.org/neurips/1996/bricolo1996neurips-3d/}
}