Object Recognition for the Internet of Things
Identifieur interne : 000B97 ( Main/Exploration ); précédent : 000B96; suivant : 000B98Object Recognition for the Internet of Things
Auteurs : Till Quack [Suisse] ; Herbert Bay [Suisse] ; Luc Van Gool [Belgique]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: We present a system which allows to request information on physical objects by taking a picture of them. This way, using a mobile phone with integrated camera, users can interact with objects or ”things” in a very simple manner. A further advantage is that the objects themselves don’t have to be tagged with any kind of markers. At the core of our system lies an object recognition method, which identifies an object from a query image through multiple recognition stages, including local visual features, global geometry, and optionally also metadata such as GPS location. We present two applications for our system, namely a slide tagging application for presentation screens in smart meeting rooms and a cityguide on a mobile phone. Both systems are fully functional, including an application on the mobile phone, which allows simplest point-and-shoot interaction with objects. Experiments evaluate the performance of our approach in both application scenarios and show good recognition results under challenging conditions.
Url:
DOI: 10.1007/978-3-540-78731-0_15
Affiliations:
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This way, using a mobile phone with integrated camera, users can interact with objects or ”things” in a very simple manner. A further advantage is that the objects themselves don’t have to be tagged with any kind of markers. At the core of our system lies an object recognition method, which identifies an object from a query image through multiple recognition stages, including local visual features, global geometry, and optionally also metadata such as GPS location. We present two applications for our system, namely a slide tagging application for presentation screens in smart meeting rooms and a cityguide on a mobile phone. Both systems are fully functional, including an application on the mobile phone, which allows simplest point-and-shoot interaction with objects. Experiments evaluate the performance of our approach in both application scenarios and show good recognition results under challenging conditions.</div></front></TEI><affiliations><list><country><li>Belgique</li><li>Suisse</li></country></list><tree><country name="Suisse"><noRegion><name sortKey="Quack, Till" sort="Quack, Till" uniqKey="Quack T" first="Till" last="Quack">Till Quack</name></noRegion><name sortKey="Bay, Herbert" sort="Bay, Herbert" uniqKey="Bay H" first="Herbert" last="Bay">Herbert Bay</name><name sortKey="Bay, Herbert" sort="Bay, Herbert" uniqKey="Bay H" first="Herbert" last="Bay">Herbert Bay</name><name sortKey="Quack, Till" sort="Quack, Till" uniqKey="Quack T" first="Till" last="Quack">Till Quack</name></country><country name="Belgique"><noRegion><name sortKey="Van Gool, Luc" sort="Van Gool, Luc" uniqKey="Van Gool L" first="Luc" last="Van Gool">Luc Van Gool</name></noRegion><name sortKey="Van Gool, Luc" sort="Van Gool, Luc" uniqKey="Van Gool L" first="Luc" last="Van Gool">Luc Van Gool</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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