Displaying A Voxel-Based Object Via Linear Octtrees

I. Gargantini; T. R . S . Walsh; O. L. Wu

doi:10.1117/12.975429

12 June 1986 Displaying A Voxel-Based Object Via Linear Octtrees

I. Gargantini, T. R . S . Walsh, O. L. Wu

Proceedings Volume 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems; (1986) https://doi.org/10.1117/12.975429
Event: Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems (PACS IV) for Medical Applications, 1986, Newport Beach, CA, United States

Abstract

Two ways of displaying an object represented in linear octtree form are presented. The object can have inherited attributes (such as gray-level, color or texture), each of which is represented by a field in the corresponding linear octtree node. The first method evaluates the surface of the object and, optionally, also all the attribute-to-attribute interfaces; a special field (BLOCKBIT) identifying the presence or absence of a node of the same size and/or attribute in each principal direction, enables us to solve, in most cases, the visibility problem so that only those octant-faces which are finally visible are indeed painted on the screen. The second method displays the object directly node by node, so that three faces are always displayed in a back-to-front order. The first method enables one to display the external surface as well as all attribute-to-attribute interfaces by applying the border algorithm only once; the second method enables one to display an object from external as well as internal view points, thus simulating a clipping capability.

Citation Download Citation

I. Gargantini, T. R . S . Walsh, and O. L. Wu "Displaying A Voxel-Based Object Via Linear Octtrees", Proc. SPIE 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems, (12 June 1986); https://doi.org/10.1117/12.975429

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