relation: http://eprints.imtlucca.it/1339/
title: Nonnegative Matrix Factorizations Performing Object Detection and Localization
creator: Casalino, Gabriella
creator: Del Buono, Nicoletta
creator: Minervini, Massimo
subject: QA75 Electronic computers. Computer science
description: We study the problem of detecting and localizing objects in still, gray-scale images making use of the part-based representation provided by nonnegative matrix factorizations. Nonnegative matrix factorization represents an emerging example of subspace methods, which is able to extract interpretable parts from a set of template image objects and then to additively use them for describing individual objects. In this paper, we present a prototype system based on some nonnegative factorization algorithms,  which differ in the additional properties added to the nonnegative representation of data, in order to investigate if any additional constraint produces better results in general object detection via nonnegative matrix factorizations.
publisher: Hindawi Publishing Corporation
date: 2012
type: Article
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nd
identifier: http://eprints.imtlucca.it/1339/1/Applied%20Computational%20Intelligence%20and%20Soft%20Computing_Minervini.pdf
identifier:   Casalino, Gabriella and Del Buono, Nicoletta and Minervini, Massimo  Nonnegative Matrix Factorizations Performing Object Detection and Localization.  Applied Computational Intelligence and Soft Computing, 2012.  pp. 1-19.  ISSN 1687-9724      (2012)  
relation: http://dx.doi.org/10.1155/2012/781987
relation: 10.1155/2012/781987