Presentation 1998/2/3
Memory-Based Self-Localization Using Omnidirectional Image Sequences
Nobuhiro Aihara, Hidehiko Iwasa, Naokazu Yokoya, Haruo Takemura,
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Abstract(in English) This paper proposes a new self-localization method using an omnidirectional image sensor which can observe a surrounding environment with 360-degrees of view. The method extracts information which is identical for the position of a sensor and invariant against the rotation of the sensor by generating an autocorrelation image from an observed omnidirectional image. The location of the sensor is identified by evaluating the similarity among the autocorrelation images in low dimensional eigenspaces. We have conducted experiments with real image sequences and examined the performance of the proposed method. The results show that accurate and robust estimation of the sensor's position is possible.
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Keyword(in English) self-localization / omnidirectional image / autocorrelation / eigenspace
Paper # EID97-133,IE97-158(1998-02)
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Conference Date 1998/2/3(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Memory-Based Self-Localization Using Omnidirectional Image Sequences
Sub Title (in English)
Keyword(1) self-localization
Keyword(2) omnidirectional image
Keyword(3) autocorrelation
Keyword(4) eigenspace
1st Author's Name Nobuhiro Aihara
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Hidehiko Iwasa
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Naokazu Yokoya
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Haruo Takemura
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 1998/2/3
Paper # EID97-133,IE97-158(1998-02)
Volume (vol) vol.97
Number (no) 526
Page pp.pp.-
#Pages 8
Date of Issue