Accession Number:

ADA207875

Title:

Recognizing 3 D Objects from 2D Images Using Structural Knowledge Base of Genetic Views

Descriptive Note:

Final rept. 1 Oct 1985-31 Aug 1988

Corporate Author:

MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER AND INFORMATION SCIENCE

Personal Author(s):

Report Date:

1988-08-31

Pagination or Media Count:

91.0

Abstract:

Model-based object recognition is an essential task for mobile robotics and assembly. Given an image of a scene containing one or more objects from unknown viewpoints, the goal is to efficiently recognize those objects for which there is sufficient evidence. At the University of Massachusetts, we are developing a model-based object recognition system which is capable of recognizing objects from a large data base of models and from arbitrary viewpoints. Contents Overview Extraction of Straight Lines The View Sphere for Curved Surfaces Reconstruction of Surfaces From Multiple Views Predictions and the Prediction Hierarchy Compiler.

Subject Categories:

  • Optical Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE