Localization and Positioning Using Combinations of Model Views

A method for localization and positioning in an indoor environment is presented. The method is based on representing the scene as a set of 2D views and predicting the appearances of novel views by linear combinations of the model views. The method is accurate under weak perspective projection....

Full description

Bibliographic Details
Main Authors: Rivlin, Ehud, Basri, Ronen
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6610
_version_ 1826191240958312448
author Rivlin, Ehud
Basri, Ronen
author_facet Rivlin, Ehud
Basri, Ronen
author_sort Rivlin, Ehud
collection MIT
description A method for localization and positioning in an indoor environment is presented. The method is based on representing the scene as a set of 2D views and predicting the appearances of novel views by linear combinations of the model views. The method is accurate under weak perspective projection. Analysis of this projection as well as experimental results demonstrate that in many cases it is sufficient to accurately describe the scene. When weak perspective approximation is invalid, an iterative solution to account for the perspective distortions can be employed. A simple algorithm for repositioning, the task of returning to a previously visited position defined by a single view, is derived from this method.
first_indexed 2024-09-23T08:53:09Z
id mit-1721.1/6610
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T08:53:09Z
publishDate 2004
record_format dspace
spelling mit-1721.1/66102019-04-10T19:32:24Z Localization and Positioning Using Combinations of Model Views Rivlin, Ehud Basri, Ronen A method for localization and positioning in an indoor environment is presented. The method is based on representing the scene as a set of 2D views and predicting the appearances of novel views by linear combinations of the model views. The method is accurate under weak perspective projection. Analysis of this projection as well as experimental results demonstrate that in many cases it is sufficient to accurately describe the scene. When weak perspective approximation is invalid, an iterative solution to account for the perspective distortions can be employed. A simple algorithm for repositioning, the task of returning to a previously visited position defined by a single view, is derived from this method. 2004-10-08T20:34:25Z 2004-10-08T20:34:25Z 1992-09-01 AIM-1376 http://hdl.handle.net/1721.1/6610 en_US AIM-1376 3318385 bytes 2171804 bytes application/octet-stream application/pdf application/octet-stream application/pdf
spellingShingle Rivlin, Ehud
Basri, Ronen
Localization and Positioning Using Combinations of Model Views
title Localization and Positioning Using Combinations of Model Views
title_full Localization and Positioning Using Combinations of Model Views
title_fullStr Localization and Positioning Using Combinations of Model Views
title_full_unstemmed Localization and Positioning Using Combinations of Model Views
title_short Localization and Positioning Using Combinations of Model Views
title_sort localization and positioning using combinations of model views
url http://hdl.handle.net/1721.1/6610
work_keys_str_mv AT rivlinehud localizationandpositioningusingcombinationsofmodelviews
AT basrironen localizationandpositioningusingcombinationsofmodelviews