@unpublished{cogprints561,
           title = {Complex cells and Object Recognition},
          author = {Shimon Edelman and Nathan Intrator and Tomaso Poggio},
            year = {1997},
             url = {http://cogprints.org/561/},
        abstract = {Nearest-neighbor correlation-based similarity computation in the space of outputs of complex-type receptive fields can support robust recognition of 3D objects. Our experiments with four collections of objects resulted in mean recognition rates between 84\% (for subordinate-level discrimination among 15 quadruped animal shapes) and 94\% (for basic-level recognition of 20 everyday objects), over a 40deg X 40deg range of viewpoints, centered on a stored canonical view and related to it by rotations in depth (comparable figures were obtained for image-plane translations). This result has interesting implications for the design of a front end to an artificial object recognition system, and for the understanding of the faculty of object recognition in primate vision.}
}

<script src="//archive-bar.soton.ac.uk/archive-bar.js"></script>