A computer vision system has been implemented that can recognize three-dimensional
objects from unknown viewpoints in single gray-scale images. Unlike most other …

A general-purpose computer vision system must be capable of recognizing three-
dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object …

We describe how to model the appearance of a 3-D object using multiple views, learn such
a model from training images, and use the model for object recognition. The model uses …

The viewpoint consistency constraint requires that the locations of all object features in an
image must be consistent with projection from a single viewpoint. The application of this …

In this work, we treat major problems of object recognition which have received relatively
little attention lately. Among them are the loss of depth information in the projection from a …

Visual object recognition is complicated by the fact that the same 3D object can give rise to a
large variety of projected images that depend on the viewing conditions, such as viewing …

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 …

We present an approach to recognition of complex objects in cluttered three-dimensional
(3D) scenes that does not require feature extraction or segmentation. Our object …

This paper describes results from an ongoing project concerned with recognizing objects in
complex scene domains, and especially in the domain that includes the natural outdoor …

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 …