Title

Three-Dimensional Object Recognition Using Wavelets For Feature Denoising

Abstract

Recognition of 3D objects independent of size, position, and rotation is an important and difficult subject in computer vision. A 3D feature extraction method referred to as the Open Ball Operator (OBO) is proposed as an approach to solving the 3D object recognition problem. The OBO feature extraction method has the three characteristics of invariance to rotation, scaling, and translation invariance. Additionally, the OBO is capable of distinguishing between convexities and concavities in the surface of 3D object. The OBO also exhibits a good robustness to noise and uncertainty caused by inaccuracies in 3D measurements. A wavelet de- noising method is used for filtering out noise contained in the feature vectors of 3D objects.

Publication Date

1-1-1996

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

2750

Number of Pages

180-190

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0029770162 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029770162

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