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dc.contributor.author
Maggiori, Emmanuel  
dc.contributor.author
Lotito, Pablo Andres  
dc.contributor.author
Manterola, Hugo Luis  
dc.contributor.author
del Fresno, Mariana  
dc.date.available
2017-01-06T18:16:09Z  
dc.date.issued
2014-12  
dc.identifier.citation
Maggiori, Emmanuel; Lotito, Pablo Andres; Manterola, Hugo Luis; del Fresno, Mariana; Comments on "A closed-form solution to Tensor voting: theory and applications"; Ieee Computer Society; Ieee Transactions On Pattern Analysis And Machine Intelligence; 36; 12; 12-2014; 2567-2568  
dc.identifier.issn
0162-8828  
dc.identifier.uri
http://hdl.handle.net/11336/10927  
dc.description.abstract
We comment on a paper that describes a closed-form formulation to Tensor Voting, a technique to perceptually group clouds of points, usually applied to infer features in images. The authors proved an analytic solution to the technique, a highly relevant contribution considering that the original formulation required numerical integration, a time-consuming task. Their work constitutes the first closed-form expression for the Tensor Voting framework. In this work we first observe that the proposed formulation leads to unexpected results which do not satisfy the constraints for a Tensor Voting output, hence they cannot be interpreted. Given that the closed-form expression is said to be an analytic equivalent solution, unexpected outputs should not be encountered unless there are flaws in the proof. We analyzed the underlying math to find which were the causes of these unexpected results. In this commentary we show that their proposal does not in fact provide a proper analytic solution to Tensor Voting and we indicate the flaws in the proof.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Ieee Computer Society  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Tensor Voting  
dc.subject
Perceptual Grouping  
dc.subject
Feature Inference  
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Comments on "A closed-form solution to Tensor voting: theory and applications"  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-11-23T19:58:15Z  
dc.journal.volume
36  
dc.journal.number
12  
dc.journal.pagination
2567-2568  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Los Alamitos  
dc.description.fil
Fil: Maggiori, Emmanuel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina  
dc.description.fil
Fil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina  
dc.description.fil
Fil: Manterola, Hugo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina  
dc.description.fil
Fil: del Fresno, Mariana. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina  
dc.journal.title
Ieee Transactions On Pattern Analysis And Machine Intelligence  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6862866/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1109/TPAMI.2014.2342233