Applications of image-based, multi-view stereo reconstruction methods = (Aplicaciones de los métodos de reconstrucción estéreo multivista)

Gallego Bonet, Guillermo (2012). Applications of image-based, multi-view stereo reconstruction methods = (Aplicaciones de los métodos de reconstrucción estéreo multivista). In: "Video Processing and Understanding Lab (Graduate Seminar)", 30 Nov 2012, Univerisdad Autónoma de Madrid.

Description

Title: Applications of image-based, multi-view stereo reconstruction methods = (Aplicaciones de los métodos de reconstrucción estéreo multivista)
Author/s:
  • Gallego Bonet, Guillermo
Item Type: Presentation at Congress or Conference (Speech)
Event Title: Video Processing and Understanding Lab (Graduate Seminar)
Event Dates: 30 Nov 2012
Event Location: Univerisdad Autónoma de Madrid
Title of Book: Lecture at The Video Processing and Understanding Lab
Date: 30 November 2012
Subjects:
Freetext Keywords: Stereo, 3-D reconstruction, Multi-view geometry, Epipolar geometry
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

These slides present several 3-D reconstruction methods to obtain the geometric structure of a scene that is viewed by multiple cameras. We focus on the combination of the geometric modeling in the image formation process with the use of standard optimization tools to estimate the characteristic parameters that describe the geometry of the 3-D scene. In particular, linear, non-linear and robust methods to estimate the monocular and epipolar geometry are introduced as cornerstones to generate 3-D reconstructions with multiple cameras. Some examples of systems that use this constructive strategy are Bundler, PhotoSynth, VideoSurfing, etc., which are able to obtain 3-D reconstructions with several hundreds or thousands of cameras. En esta presentación se tratan varios métodos de reconstrucción 3-D para la obtención de la estructura geométrica de una escena que es visualizada por varias cámaras. Se enfatiza la combinación de modelado geométrico del proceso de formación de la imagen con el uso de herramientas estándar de optimización para estimar los parámetros característicos que describen la geometría de la escena 3-D. En concreto, se presentan métodos de estimación lineales, no lineales y robustos de las geometrías monocular y epipolar como punto de partida para generar reconstrucciones con tres o más cámaras. Algunos ejemplos de sistemas que utilizan este enfoque constructivo son Bundler, PhotoSynth, VideoSurfing, etc., los cuales, en la práctica pueden llegar a reconstruir una escena con varios cientos o miles de cámaras.

More information

Item ID: 15340
DC Identifier: http://oa.upm.es/15340/
OAI Identifier: oai:oa.upm.es:15340
Deposited by: Dr Guillermo Gallego Bonet
Deposited on: 16 May 2013 11:54
Last Modified: 21 Apr 2016 15:24
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