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Using Text-Spotting to Query the World

Abstract:

The world we live in is labeled extensively for the benefit of humans. Yet, to date, robots have made little use of human readable text as a resource. In this paper we aim to draw attention to text as a readily available source of semantic information in robotics by implementing a system which allows robots to read visible text in natural scene images and to use this knowledge to interpret the content of a given scene. The reliable detection and parsing of text in natural scene images is an a...

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Publication status:
Published

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Publisher copy:
10.1109/IROS.2010.5653151

Authors


Pages:
3181-3186
Host title:
IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010)
Publication date:
2010-01-01
DOI:
ISSN:
2153-0858
Source identifiers:
127231
ISBN:
9781424466757
Pubs id:
pubs:127231
UUID:
uuid:3b2aa1ed-b416-41e0-a6fb-acc387db8e28
Local pid:
pubs:127231
Deposit date:
2012-12-19

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