Presentation 2000/3/22
Capturing a Real Environment with Omnidirectional Stereo Image Sensor
Soichi Ebisuno, Kazumasa Yamazawa, Haruo Takemura, Naokazu Yokoya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a method to virtualize a large real environment such as an urban environment. For this purpose, we have developed an omnidirectional stereo imaging sensor with multiple cameras and pyramidal mirrors. This sensor can obtain a stereo pair of high-resolution panoramic images satisfying the single viewpoint constraint at video rate. Using the omnidirectional sensor, a real scene is captured to construct a virtual environment. To compensate for the accuracy of stereo range data, the proposed method integrates binocular stereo and motion stereo which is based on feature point tracking in consecutive frames. Finally, examples of the constructed virtual environments are shown to confirm the effectiveness of the proposed method.
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Keyword(in English) omnidirectional stereo image sensor / binocular stereo / motion stereo / integration of depth information
Paper # MVE99-82
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Conference Information
Committee MVE
Conference Date 2000/3/22(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Capturing a Real Environment with Omnidirectional Stereo Image Sensor
Sub Title (in English)
Keyword(1) omnidirectional stereo image sensor
Keyword(2) binocular stereo
Keyword(3) motion stereo
Keyword(4) integration of depth information
1st Author's Name Soichi Ebisuno
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Kazumasa Yamazawa
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Haruo Takemura
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Naokazu Yokoya
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2000/3/22
Paper # MVE99-82
Volume (vol) vol.99
Number (no) 723
Page pp.pp.-
#Pages 8
Date of Issue