{"id":28862,"date":"2018-03-09T09:21:44","date_gmt":"2018-03-09T09:21:44","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/generative-models-for-video-analysis-and-3d-range-data-applications\/"},"modified":"2018-03-09T09:21:44","modified_gmt":"2018-03-09T09:21:44","slug":"generative-models-for-video-analysis-and-3d-range-data-applications","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/generative-models-for-video-analysis-and-3d-range-data-applications\/","title":{"rendered":"Generative models for video analysis and 3d range data applications"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Xavier Orriols Majoral <\/strong><\/h2>\n<p>La mayor\u00eda de problemas en visi\u00f3n por computador no contienen una relaci\u00f3n directa entre el est\u00edmulo que proviene de sensores de tipo gen\u00e9rico y su correspondiente categor\u00eda perceptual. Este tipo de conexi\u00f3n requiere de una tarea de aprendizaje compleja. De hecho, las formas b\u00e1sicas de energ\u00eda, y sus posibles combinaciones, son un n\u00famero reducido de comparaci\u00f3n a las infinitas categor\u00edas perceptuales correspondientes a objetos, acciones, relaciones entre objetos, etc. Dos factores principales determinan el nivel de dificultad de cada problema espec\u00edfico:  1,- los diferentes niveles de informaci\u00f3n que se utilizan.  2,- la complejidad del modelo que se emplea con el objetivo de explicar las observaciones.  la elecci\u00f3n de una representaci\u00f3n adecuada para los datos toma una relevancia significativa cuando se tratan invariancias, dado que estas siempre implican una reducci\u00f3n de los grados de libertad del sistema, i.E., El n\u00famero necesario de coordenadas para la representaci\u00f3n es menor que el empleado en la captura de datos. De este modo, la descomposici\u00f3n en unidas b\u00e1sicas y el cambio de representaci\u00f3n dan lugar a que un problema complejo se pueda transformar en uno de manejable. Esta simplificaci\u00f3n del problema de la estimaci\u00f3n debe depender del mecanismo propio de combinaci\u00f3n de estas primitivas con el fin de obtener una descripci\u00f3n \u00f3ptima del modelo complejo global. Esta tesis muestra como los modelos de variables latentes reducen dimensionalidad, que teniendo en cuenta las simetr\u00edas internas del problema, ofrecen una manera de tratar con datos parciales y dan lugar a la posibilidad de predicciones de nuevas observaciones.  las l\u00edneas de investigaci\u00f3n de esta tesis est\u00e1n dirigidas al manejo de datos provenientes de m\u00faltiples fuentes. Concretamente, esta tesis presenta un conjunto de nuevos algoritmos aplicados a dos \u00e1reas diferentes dentro de la visi\u00f3n por computador:  1,- video an\u00e1lisis y sumarizaci<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Generative models for video analysis and 3d range data applications<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Generative models for video analysis and 3d range data applications <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Xavier Orriols Majoral <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 26\/02\/2004<\/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>Xavier Binefa Valls<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: jordi Vitri\u00ed\u00a0 marca <\/li>\n<li>david Cooper (vocal)<\/li>\n<li>lLuis Torres (vocal)<\/li>\n<li>marco Bressan (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Xavier Orriols Majoral La mayor\u00eda de problemas en visi\u00f3n por computador no contienen una relaci\u00f3n directa entre [&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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