Home/Finding Images of Landmarks in Video Sequences

Finding Images of Landmarks in Video Sequences

Yutaka Takeuchi and Martial Hebert
Conference Paper, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98), June, 1998

Download Publication (PDF)

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.


Recognizing landmarks is a critical task for mobile robots. Landmarks are used for robot positioning, and for building maps of unknown environments. In this context, the traditional recognition techniques based on strong geometric models cannot be used. Rather, models of landmarks must be built from observations using image-based techniques. This paper addresses the issue of building image-based landmark descriptions from sequences of images and of recognizing those landmarks. Beyond its application to mobile robot navigation, this approach addresses the more general problem of identifying groups of images with common attributes in sequences of images. We show that, with the appropriate domain constraints and image descriptions, this can be done using efficient algorithms.

BibTeX Reference
title = {Finding Images of Landmarks in Video Sequences},
author = {Yutaka Takeuchi and Martial Hebert},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98)},
month = {June},
year = {1998},