Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/49718
Title: Detection of point landmarks in multidimensional tensor data
Authors: Ruiz-Alzola, J. 
Kikinis, R.
Westin, C. F.
UNESCO Clasification: 3325 Tecnología de las telecomunicaciones
Keywords: Tensor data
Gradient
Point landmark
Correlation
Corner
Issue Date: 2001
Publisher: 0165-1684
Journal: Signal Processing 
Abstract: This paper describes a unified approach to the detection of point landmarks-whose neighborhoods convey discriminant information-including multidimensional scalar, vector, and higher-order tensor data. The method is based on the interpretation of generalized correlation matrices derived from the gradient of tensor functions, a probabilistic interpretation of point landmarks, and the application of tensor algebra. Results on both synthetic and real tensor data are presented.
URI: http://hdl.handle.net/10553/49718
ISSN: 0165-1684
DOI: 10.1016/S0165-1684(01)00100-1
Source: Signal Processing[ISSN 0165-1684],v. 81, p. 2243-2247
Appears in Collections:Artículos
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