Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Visual localization by linear combination of image descriptors

Abstract : We seek to predict the GPS location of a query image given a database of images localized on a map with known GPS locations. The contributions of this work are three-fold: (1) we formulate the image-based localization problem as a regression on an image graph with images as nodes and edges connecting close-by images; (2) we design a novel image matching procedure, which computes similarity between the query and pairs of database images using edges of the graph and considering linear combinations of their feature vectors. This improves generalization to unseen viewpoints and illumination conditions, while reducing the database size; (3) we demonstrate that the query location can be predicted by interpolating locations of matched images in the graph without the costly estimation of multi-view geometry. We demonstrate benefits of the proposed image matching scheme on the standard Oxford building benchmark, and show localization results on a database of 8,999 panoramic Google Street View images of Pittsburgh.
Document type :
Conference papers
Complete list of metadata

Cited literature [34 references]  Display  Hide  Download

https://hal.inria.fr/hal-01053880
Contributor : Josef Sivic Connect in order to contact the contributor
Submitted on : Sunday, August 3, 2014 - 7:00:49 PM
Last modification on : Tuesday, July 5, 2022 - 8:39:10 AM
Long-term archiving on: : Tuesday, November 25, 2014 - 11:45:38 PM

File

torii11.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01053880, version 1

Collections

Citation

Akihiko Torii, Josef Sivic, Tomas Pajdla. Visual localization by linear combination of image descriptors. 2nd IEEE Workshop on Mobile Vision, 2011, Barcelona, Spain. ⟨hal-01053880⟩

Share

Metrics

Record views

138

Files downloads

351