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dc.contributor.author | Albert Gil, Francisco Eugenio | es_ES |
dc.contributor.author | Aleixos Borrás, María Nuria | es_ES |
dc.date.accessioned | 2017-05-19T08:53:01Z | |
dc.date.available | 2017-05-19T08:53:01Z | |
dc.date.issued | 2017-03 | |
dc.identifier.issn | 0031-3203 | |
dc.identifier.uri | http://hdl.handle.net/10251/81465 | |
dc.description.abstract | Tangent and Corner Vertices Detection (TCVD) is a method to detect corner vertices and tangent points in sketches using parametric cubic curves approximation, which is capable to detect corners with a high accuracy and a very low false positive rate, and also to detect tangent points far above other methods in literature. In this article, we present several improvements to TCVD method in order to establish mathematical conditions to detect corners and make the obtaining of curves independent from the scale, what increases the success ratio in transitions between lines and curves. The new conditions for obtaining corners use the radius as the inverse of the curvature, and the second derivative of the curvature. For the detection of curves, a new descriptor is presented, avoiding the parameters dependent of scale used in TCVD method. In order to obtain the performance of the implemented improvements, several tests have been carried out using a dataset which contains sketches more complex than those used for validation of TCVD algorithm (sketches with more curves and tangent points and sketches of different sizes). For corners detection, the accuracy obtained was pretty similar to that obtained with the previous TCVD, however, for curves and tangent points detection the accuracy increases significantly. | es_ES |
dc.description.sponsorship | Spanish Ministry of Science and Education and the FEDER Funds, through HYMAS project (Ref. DPI2010-19457) and INIA project VIS-DACSA (Ref. RTA2012-00062-C04-03) partially supported this work. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Pattern Recognition | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Corner vertices detection | es_ES |
dc.subject | Tangent points detection | es_ES |
dc.subject | Sketch recognition | es_ES |
dc.subject | Stroke segmentation | es_ES |
dc.subject | Curvature functions | es_ES |
dc.subject | Natural interfaces | es_ES |
dc.subject.classification | EXPRESION GRAFICA EN LA INGENIERIA | es_ES |
dc.title | Improvements to the TCVD method to segment hand-drawn sketches | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.patcog.2016.10.024 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2010-19457/ES/DESARROLLO DE NUEVAS TECNICAS DE VISION POR COMPUTADOR BASADAS EN SISTEMAS MULTI-AGENTE E IMAGENES HIPERESPECTRALES PARA LA ESTIMACION AUTOMATICA DE LA CALIDAD DE LOS CITRICOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-03/ES/Nuevas técnicas de inspección basadas en visión por computador multiespectral para la estimación de propiedades y determinación automática de la calidad y sanidad de la producción agroalimentaria en líneas de inspección y manipulación (VIS-DACSA)/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà | es_ES |
dc.description.bibliographicCitation | Albert Gil, FE.; Aleixos Borrás, MN. (2017). Improvements to the TCVD method to segment hand-drawn sketches. Pattern Recognition. 63:416-426. https://doi.org/10.1016/j.patcog.2016.10.024 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.patcog.2016.10.024 | es_ES |
dc.description.upvformatpinicio | 416 | es_ES |
dc.description.upvformatpfin | 426 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 63 | es_ES |
dc.relation.senia | 320364 | es_ES |
dc.identifier.eissn | 1873-5142 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |