Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7190
Title: Three-dimensional object recognition using wavelets for feature denoising
Authors: Kasparis, Takis 
Kim, Sung Soo
Schiavone, Guy A.
Keywords: Pattern recognition
Computer vision
Three-dimensional imaging
Issue Date: 1996
Publisher: SPIE
Source: The International Society for Optical Engineering, 1996, Volume 2750, Pages 180-190
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.
URI: http://ktisis.cut.ac.cy/handle/10488/7190
http://172.16.21.12:8080/jspui/handle/10488/7190
http://hdl.handle.net/10488/7190
ISBN: 0819421316
DOI: 10.1117/12.241988
Rights: © 1996 SPIE
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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