Classifier and feature based stereo for mobile robot systems

C. H. Messom; A. L. Barczak

doi:10.1109/IMTC.2008.4547182

Classifier and feature based stereo for mobile robot systems

C. H. Messom, A. L. Barczak

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

6 Citations (Scopus)

Abstract

Classifier based approaches to stereo vision reduce the ambiguity associated with low level texture and feature based image registration, however there are challenges associated with providing accurate object positioning for good depth estimation using these high level approaches. This paper investigates the performance of stereo based systems that use Haar-like features for object classification. The availability of good face detectors using this approach makes it suitable for biped and mobile robot systems that operate in environments that include people, however significant challenges exist for identifying general objects that are not as highly structured and aligned as human faces.

Original language	English
Title of host publication	2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, I2MTC
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	997-1002
Number of pages	6
ISBN (Print)	1424415411, 9781424415410
DOIs	https://doi.org/10.1109/IMTC.2008.4547182
Publication status	Published - 2008
Externally published	Yes
Event	IEEE International Instrumentation and Measurement Technology Conference 2008 - Fairmont Express Hotel & Victoria Conference Center, Victoria, Canada Duration: 12 May 2008 → 15 May 2008 Conference number: 25th https://ieeexplore.ieee.org/xpl/conhome/4539706/proceeding (IEEE Conference Proceedings)

Conference

Conference	IEEE International Instrumentation and Measurement Technology Conference 2008
Abbreviated title	I2MTC 2008
Country/Territory	Canada
City	Victoria
Period	12/05/08 → 15/05/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4539706/proceeding (IEEE Conference Proceedings)

Keywords

Biped robots
Feature extraction
Mobile robots
Object classification
Stereo vision

Access to Document

10.1109/IMTC.2008.4547182

Cite this

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title = "Classifier and feature based stereo for mobile robot systems",

abstract = "Classifier based approaches to stereo vision reduce the ambiguity associated with low level texture and feature based image registration, however there are challenges associated with providing accurate object positioning for good depth estimation using these high level approaches. This paper investigates the performance of stereo based systems that use Haar-like features for object classification. The availability of good face detectors using this approach makes it suitable for biped and mobile robot systems that operate in environments that include people, however significant challenges exist for identifying general objects that are not as highly structured and aligned as human faces.",

keywords = "Biped robots, Feature extraction, Mobile robots, Object classification, Stereo vision",

author = "Messom, {C. H.} and Barczak, {A. L.}",

year = "2008",

doi = "10.1109/IMTC.2008.4547182",

language = "English",

isbn = "1424415411",

pages = "997--1002",

booktitle = "2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, I2MTC",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Instrumentation and Measurement Technology Conference 2008, I2MTC 2008 ; Conference date: 12-05-2008 Through 15-05-2008",

url = "https://ieeexplore.ieee.org/xpl/conhome/4539706/proceeding",

}

Messom, CH & Barczak, AL 2008, Classifier and feature based stereo for mobile robot systems. in 2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, I2MTC. IEEE, Institute of Electrical and Electronics Engineers, pp. 997-1002, IEEE International Instrumentation and Measurement Technology Conference 2008, Victoria, British Columbia, Canada, 12/05/08. https://doi.org/10.1109/IMTC.2008.4547182

Classifier and feature based stereo for mobile robot systems. / Messom, C. H.; Barczak, A. L.
2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, I2MTC. IEEE, Institute of Electrical and Electronics Engineers, 2008. p. 997-1002.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Classifier and feature based stereo for mobile robot systems

AU - Messom, C. H.

AU - Barczak, A. L.

N1 - Conference code: 25th

PY - 2008

Y1 - 2008

N2 - Classifier based approaches to stereo vision reduce the ambiguity associated with low level texture and feature based image registration, however there are challenges associated with providing accurate object positioning for good depth estimation using these high level approaches. This paper investigates the performance of stereo based systems that use Haar-like features for object classification. The availability of good face detectors using this approach makes it suitable for biped and mobile robot systems that operate in environments that include people, however significant challenges exist for identifying general objects that are not as highly structured and aligned as human faces.

AB - Classifier based approaches to stereo vision reduce the ambiguity associated with low level texture and feature based image registration, however there are challenges associated with providing accurate object positioning for good depth estimation using these high level approaches. This paper investigates the performance of stereo based systems that use Haar-like features for object classification. The availability of good face detectors using this approach makes it suitable for biped and mobile robot systems that operate in environments that include people, however significant challenges exist for identifying general objects that are not as highly structured and aligned as human faces.

KW - Biped robots

KW - Feature extraction

KW - Mobile robots

KW - Object classification

KW - Stereo vision

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DO - 10.1109/IMTC.2008.4547182

M3 - Conference Paper

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SN - 1424415411

SN - 9781424415410

SP - 997

EP - 1002

BT - 2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, I2MTC

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Instrumentation and Measurement Technology Conference 2008

Y2 - 12 May 2008 through 15 May 2008

ER -

Classifier and feature based stereo for mobile robot systems

Abstract

Conference

Keywords

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