Please use this identifier to cite or link to this item:
Title: Open-ball-operators for 3-D object recognition
Authors: Kasparis, Takis 
Kim, Sung Soo 
Schiavone, Guy A. 
metadata.dc.contributor.other: Κασπαρής, Τάκης
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Computer vision;Neural networks;Computer simulation
Issue Date: Jun-1996
Source: Proceedings of the Southcon Conference, 1996, Orlando, Florida
Conference: Southcon Conference 
Abstract: Recognition of three-dimensional objects is a crucial and challenging problem. This paper presents a method of three-dimensional object recognition using the Hopfield associative memory in neural networks. The input vectors to the Hopfield associative memory are obtained via the three-dimensional feature extraction Open-Ball operator (OBO). This approach is invariant to shift, translation, and rotation (R3) of three-dimensional objects.
ISBN: 0-7803-3268-7
ISSN: 1087-8785
DOI: 10.1109/SOUTHC.1996.535084
Rights: © 1996 IEEE
Type: Conference Papers
Affiliation: University of Central Florida 
Affiliation : University of Central Florida 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

Page view(s) 50

Last Week
Last month
checked on Jul 25, 2024

Google ScholarTM



Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.