Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7181
Title: Open-ball-operators for 3-D object recognition
Authors: Kasparis, Takis 
Kim, Sung Soo
Schiavone, Guy A.
Keywords: Computer vision
Neural networks
Computer simulation
Issue Date: 1996
Publisher: IEEE
Source: Proceedings of the Southcon Conference, 1996, Orlando, Florida
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.
URI: http://ktisis.cut.ac.cy/handle/10488/7181
http://172.16.21.12:8080/jspui/handle/10488/7181
http://hdl.handle.net/10488/7181
ISSN: 10878785
DOI: 10.1109/SOUTHC.1996.535084
Rights: © 1996 IEEE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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