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 |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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