Extracting known and inferred shape information from a single view

Adam Hoover; Dmitry B. Goldgof; Kevin W. Bowyer

doi:10.1117/12.131632

1 November 1992 Extracting known and inferred shape information from a single view

Adam Hoover, Dmitry B. Goldgof, Kevin W. Bowyer

Proceedings Volume 1828, Sensor Fusion V; (1992) https://doi.org/10.1117/12.131632
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

In order for a mobile robot to acquire a shape model of an unknown object, it must be able to view the entire exterior of the object. However, in an unstructured environment, it is impossible to know the extent to which the robot can circumnavigate the object. If the entire object cannot be seen, then it is impractical to discuss creating object models which contain only viewable object surfaces. In fact, it is easy to conceive if an object which possesses exterior surfaces that are hidden from any reasonable viewpoint. However, it is generally possible to establish limits to the volume of space that the object can occupy. Such a volume represents the combination of space occluded from view with space actually taken up by the object. A model of this volume is valuable, in that it has the advantage of being a complete, enclosed boundary description. Object recognition routines, for example, may require complete boundary descriptions to work with. Even if complete boundary descriptions are not required, knowing the maximum possible extent of the object could prove valuable, perhaps in differentiating between several partial object model matches. Processing a single view, we build an ''OPUS'' (object plus unseen space) by combining ''object surfaces''--defining the fraction of the exterior of the object that can actually be seen--with ''occlusion surfaces''-- indicating the limits to the volume of space which is occluded from view.

Citation Download Citation

Adam Hoover, Dmitry B. Goldgof, and Kevin W. Bowyer "Extracting known and inferred shape information from a single view", Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); https://doi.org/10.1117/12.131632

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