Title

Open-Ball-Operators For 3-D Object Recognition

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.

Publication Date

1-1-1996

Publication Title

Southcon Conference Record

Number of Pages

303-307

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0029697030 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029697030

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