{"id":84576,"date":"2018-03-10T00:08:55","date_gmt":"2018-03-10T00:08:55","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/un-enfoque-bayesiano-para-la-extraccion-de-caracteristicas-y-agrupamiento-en-vision-artificial\/"},"modified":"2018-03-10T00:08:55","modified_gmt":"2018-03-10T00:08:55","slug":"un-enfoque-bayesiano-para-la-extraccion-de-caracteristicas-y-agrupamiento-en-vision-artificial","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencia-de-los-ordenadores\/un-enfoque-bayesiano-para-la-extraccion-de-caracteristicas-y-agrupamiento-en-vision-artificial\/","title":{"rendered":"Un enfoque bayesiano para la extraccion de caracteristicas y agrupamiento en vision artificial"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Miguel Angel Cazorla Quevedo <\/strong><\/h2>\n<p>El marco de esta tesis se centra en la extracci\u00f3n de caracter\u00edsticas y agrupamiento perceptual en visi\u00f3n artificial. La tesis est\u00e1 estructurada en tres partes:  1)se proponen dos m\u00e9todos novedosos para la detenci\u00f3n y clasificacion de uniones, comparando los resultados obtenidos con m\u00e9todos previamente propuestos.  2)se realiza un agrupamiento de las uniones detectadas, con dos objetivos: a)solucionar errores en la localizaci\u00f3n de los limites de las secciones angulares, b)obtener un agrupamiento de uniones.  3)utilizaci\u00f3n de las caracter\u00edsticas obtenidas en los pasos anteriores para obtener el \u00e1ngulo de orientaci\u00f3n de la c\u00e1mara con respecto al entorno. este \u00e1ngulo ser\u00e1 utilizado para guiar al robot al centro del pasillo.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Un enfoque bayesiano para la extraccion de caracteristicas y agrupamiento en vision artificial<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Un enfoque bayesiano para la extraccion de caracteristicas y agrupamiento en vision artificial <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Miguel Angel Cazorla Quevedo <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Alicante<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 19\/05\/2000<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Francisco Escolano Ru\u00edz<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: fernando Martin rubio <\/li>\n<li>Juan  Manuel Garc\u00eda chamizo (vocal)<\/li>\n<li>ram\u00f3n Rizo aldeguer (vocal)<\/li>\n<li>Antonio  Fernando Gomez skarmeta (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Miguel Angel Cazorla Quevedo El marco de esta tesis se centra en la extracci\u00f3n de caracter\u00edsticas y [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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