We describe some experiments in real-time 3-D object classification using a learning system
derived from a general neural model for supervised learning. The primary advantages of the …

For autonomous machines equipped with vision capabilities and in a controlled environment
3-D model-based object identification methodologies will in general solve rigid body …

This paper presents a solution to the problem of recognition and location estimation of
complex three dimensional objects in a robotic workspace. We initially assume 3-D data is …

Three-Dimensional Object Recognition Using an Unsupervised Neural Network: Understanding
the Distinguishing Features Page 1 Three-Dimensional Object Recognition Using an …

In this contribution we describe steps towards the implementation of an active robot vision
system. In a sequence of images taken by a camera mounted on the hand of a robot, we …

A self-organizing neural network is developed for recognition of 3-D objects from sequences
of their 2-D views. Called VIEWNET because it uses view information encoded with …

Publisher Summary This chapter focuses on learning and recognizing 3D objects from
multiple views in a neural system. In this approach of designing a 3D object recognition …

A system for the classification of real 3-D objects is presented. Ten objects are presented in
arbitrary orientation (and position, within limits). The perception of an object is achieved by …

A method for unrestricted recognition of 3-D objects has been developed. By unrestricted,
we imply that the recognition shall be done independently of object position, scale …

A method for the automatic construction of fast special purpose vision programs is
described. The starting point for the automatic construction process is a description of a …