Volume 23, Issue 4 pp. 47-56
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Acquiring omnidirectional range information

Hiroshi Ishiguro

Hiroshi Ishiguro

Faculty of Engineering Science, Osaka University, Toyama, Japan 560

Hiroshi Ishiguro: graduated in 1986 from the Computer Science Department, Yamanashi University, obtained a Master's degree from there in 1988, and a Dr. of Eng. degree from Osaka University in 1991. Presently, he is a Research Associate at Yamanashi University and has been engaged in research on robot vision. He is a member of Institute of Electronics, Information, and Communication, Japan; the Robotics Society of Japan; and IEEE.

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Masashi Yamamoto

Masashi Yamamoto

Faculty of Engineering Science, Osaka University, Toyama, Japan 560

Masashi Yamamoto: graduated in 1989 from the Faculty of Engineering Science, Osaka University, where he obtained a Master's degree in 1991. Presently, he is with Mazda Corporation. He is engaged in research on robot vision. He is a member of the Robotics Society of Japan.

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Saburo Tsuji

Saburo Tsuji

Members

Faculty of Engineering Science, Osaka University, Toyama, Japan 560

Saburo Tsuji: graduated in 1953 from the Faculty of Engineering, Osaka University, where he obtained a Master's degree in 1955. He joined Denshi Sogo Kenkyujo the same year. He obtained a Dr. of Eng. degree in 1970 and has been a Professor of Control Engineering, Faculty of Engineering Science, Osaka University, since 1970. Presently, he is engaged in research mainly on artificial intelligence, robotics, and computer vision. He is a member of the Information Processing Society of Japan; the Society of Instrumentation and Control Engineers; IEEE; and AAAI.

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First published: 1992
Citations: 1

Abstract

This paper describes a method of obtaining a precise omnidirectional view and coarse ranges to objects by rotating a single camera. The omnidirectional view is obtained by arranging image data taken through a vertical slit on the image plane while the camera rotates around the vertical axis. The omnidirectional view contains precise azimuth information determined by the resolution of the camera rotation. The range is obtained from two omnidirectional images taken through two slits when the camera moves along a circular path. This range estimate contains errors due to a finite resolution of the camera rotation system, while a conventional binocular stereo method contains errors due to quantization of images. The representation of an environment, “panoramic representation,” by the omnidirectional view and range information is useful for a vision sensor of a mobile robot.

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