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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