Object recognition for vision-based navigation in indoor environments without using image database

Hyunho Lee; Jaehun Kim; Chulki Kim; Minah Seo; Seok Lee; Soojung Hur; Taikjin Lee

doi:10.1109/ISCE.2014.6884460

Object recognition for vision-based navigation in indoor environments without using image database

Hyunho Lee
, Jaehun Kim
, Chulki Kim
, Minah Seo
, Seok Lee
, Soojung Hur
, Taikjin Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

This paper proposed recognizing methods of the indoor objects for the vision-based indoor navigation using the smartphone camera without using an image database. It is better realizable and cost-effective system than conventional system which uses an image database. In this proposed approach, we define the metrics to recognize indoor objects.

Original language	English
Title of host publication	ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479945924
DOIs	https://doi.org/10.1109/ISCE.2014.6884460
Publication status	Published - 2014
Externally published	Yes
Event	18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of Duration: 2014 Jun 22 → 2014 Jun 25

Publication series

Name	Proceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other	18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/Territory	Korea, Republic of
City	Jeju
Period	14/6/22 → 14/6/25

Keywords

indoor object recognition
vision-based indoor navigation
without using image database

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ISCE.2014.6884460

Cite this

Lee, H., Kim, J., Kim, C., Seo, M., Lee, S., Hur, S., & Lee, T. (2014). Object recognition for vision-based navigation in indoor environments without using image database. In ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics Article 6884460 (Proceedings of the International Symposium on Consumer Electronics, ISCE). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCE.2014.6884460

Object recognition for vision-based navigation in indoor environments without using image database. / Lee, Hyunho; Kim, Jaehun; Kim, Chulki et al.
ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., 2014. 6884460 (Proceedings of the International Symposium on Consumer Electronics, ISCE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, H, Kim, J, Kim, C, Seo, M, Lee, S, Hur, S & Lee, T 2014, Object recognition for vision-based navigation in indoor environments without using image database. in ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics., 6884460, Proceedings of the International Symposium on Consumer Electronics, ISCE, Institute of Electrical and Electronics Engineers Inc., 18th IEEE International Symposium on Consumer Electronics, ISCE 2014, Jeju, Korea, Republic of, 14/6/22. https://doi.org/10.1109/ISCE.2014.6884460

Lee H, Kim J, Kim C, Seo M, Lee S, Hur S et al. Object recognition for vision-based navigation in indoor environments without using image database. In ISCE 2014 - 18th IEEE International Symposium on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc. 2014. 6884460. (Proceedings of the International Symposium on Consumer Electronics, ISCE). doi: 10.1109/ISCE.2014.6884460

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abstract = "This paper proposed recognizing methods of the indoor objects for the vision-based indoor navigation using the smartphone camera without using an image database. It is better realizable and cost-effective system than conventional system which uses an image database. In this proposed approach, we define the metrics to recognize indoor objects.",

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AU - Hur, Soojung

AU - Lee, Taikjin

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ER -

Object recognition for vision-based navigation in indoor environments without using image database

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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