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

In human vision, the processes and the representations involved in identifying specific
individuals are frequently assumed to be different from those used for basic level …

There is an ongoing debate about the nature of perceptual representation in human object
recognition. Resolution of this debate has been hampered by the lack of a metric for …

Visual object recognition is a process in which representations of objects are used to identify
those objects in images. Recent psychophysical and physiological studies indicate that the …

Two view-based object recognition algorithms are compared:(1) a heuristic algorithm based
on oriented filters, and (2) a support vector learning machine trained on low-resolution …

The dominant approaches to theorizing about and modeling human object recognition are
the view-based approach, which holds that we mentally represent objects in terms of the …

Theories of visual object recognition must solve the problem of recognizing 3D objects given
that perceivers only receive 2D patterns of light on their retinae. Recent findings from human …

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 …

We consider the problem of recognizing 3-D objects from 2-D images using geometric
models and assuming different viewing angles and positions. Our goal is to recognize and …

In this review current theories of the visual perception of three-dimensional form are
introduced. Starting with a brief overview of lowlevel visual processes, which contribute to …