A key question concerning the perception of 3D objects is the spatial reference frame used
by the brain to represent them. The celerity of the recognition process could be explained by …

The systems and concepts described in this paper document the evolution of the geometric
invariance approach to object recognition over the last five years. Invariance overcomes one …

Geometrical criteria which define viewpoint-invariant features to be extracted from 2D line
drawings of 3D objects are described. The extraction of these features forms the initial stage …

Investigates the application of genetic algorithms (GAs) for recognizing real 2D or 3D objects
from 2D intensity images, assuming that the viewpoint is arbitrary. Our approach is model …

We demonstrate the ability of a two-layer network of thresholded summation units to support
representation of 3D objects in which several distinct 2D views are stored for ea. ch object …

Our goal is to circumvent one of the roadblocks to using existing approaches for single-view
recognition for achieving multi-view recognition, namely, the need for sufficient training data …

Evidence for viewpoint-specific image-based object representations have been collected
almost entirely using exemplar-specific recognition tasks. Recent results, however, implicate …

An important problem in vision is to detect the presence of a known rigid, 3-d object. The
general 3-d object recognition task can be thought of as building a description of the object …

In this paper we analyze the ability of a computer vision system to derive properties of the
three-dimensional (3-D) physical world from viewing two-dimensional (2-D) images. We …