Characteristic Views As A Basis For Three-Dimensional Object Recognition

Indranil Chakravarty; Herbert Freeman

doi:10.1117/12.933609

22 November 1982 Characteristic Views As A Basis For Three-Dimensional Object Recognition

Indranil Chakravarty, Herbert Freeman

Proceedings Volume 0336, Robot Vision; (1982) https://doi.org/10.1117/12.933609
Event: 1982 Technical Symposium East, 1982, Arlington, United States

Abstract

This paper describes a new technique for modeling 3D objects that is applicable to recog-nition tasks in advanced automation. Objects are represented in terms of canonic 2D models which can be used to determine the identity, location and orientation of an unknown object. The reduction in dimensionality is achieved by factoring the space of all possible perspective projections of an object into a set of characteristic views, where each such view defines a characteristic-view domain within which all projections are topologically identical and related by a linear transformation. The characteristic views of an object can then be hierarchically structured for efficient classification. The line-junction labelling constraints are used to match a characteristic view to a given unknown-object projection, and determination of the unknown-object projection-to-characteristic view transformation then provides information about the identity as well as the location and orientation of the object.

Citation Download Citation

Indranil Chakravarty and Herbert Freeman "Characteristic Views As A Basis For Three-Dimensional Object Recognition", Proc. SPIE 0336, Robot Vision, (22 November 1982); https://doi.org/10.1117/12.933609

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available