A system that learns to recognize 3-D objects

A system that learns to recognize 3-D objects from single and multiple views is presented. It consists of three parts: a simulator of 3-D figures, a Learner, and a recognizer. The 3-D figure simulator generates and plots line drawings of certain 3-D objects. A series of transformations leads to a nu...

Full description

Saved in:
Bibliographic Details
Main Author: Gabriel Gabrielides
Format: Default Thesis
Published: 1988
Subjects:
Other information and computing sciences not elsewhere classified
Computer vision development
Pattern recognition systems
Pattern perception
Image processing
Robotics
Computer software
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/6732
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items