Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2520
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

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