Shape understanding system: understanding of the complex object

Zbigniew Les; Magdalena Les

doi:10.1117/1.1900745

1 April 2005 Shape understanding system: understanding of the complex object

Zbigniew Les, Magdalena Les

Author Affiliations +

Journal of Electronic Imaging, Vol. 14, Issue 2, 023015 (April 2005). https://doi.org/10.1117/1.1900745

Abstract

In this paper the method of understanding of the complex object concept is presented. The proposed method of understanding the concept of the complex object is part of the shape understanding method developed by the authors. The main novelty of the presented method is that the process of understanding is related to the visual concept represented as a symbolic name of the possible class of shapes. The possible class of shapes, viewed as the hierarchical structures, is incorporated into the shape model. At each stage of the reasoning process that led to assigning of an examined object to one of the possible classes, the novel processing methods were used. These methods are very efficient because they dealt with a very specific class of shapes. These methods are implemented as a module of the shape understanding system and tested on the broad classes of shapes. The system of shape understanding is able to perform different tasks of shape analysis and recognition based on the ability of the system to understand the different concepts of shape at the different levels of cognition. The system consists of different types of experts that perform different processing and reasoning tasks.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Zbigniew Les and Magdalena Les "Shape understanding system: understanding of the complex object," Journal of Electronic Imaging 14(2), 023015 (1 April 2005). https://doi.org/10.1117/1.1900745

Published: 1 April 2005

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