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Proceedings Paper

Identification and distortion rectification of signboards in real scene image for robot navigation
Author(s): Yongmei Liu; Tsuyoshi Yamamura; Toshimitsu Tanaka; Noboru Ohnishi
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Paper Abstract

This paper describes an approach for finding a signboard along with the camera viewing direction in a gray scene image and rectifying a distorted signboard image taken from a nonorthogonal viewing direction. First, we use heuristics of both characters and character lines to discriminate characters from other objects in a gray scene image. Then, we attempt to compute the orientation of the camera relative to a detected signboard from a single view. Finally, we rectify the distortion of signboard images that are viewed at an angle. The only restriction for viewing direction estimation and distortion rectification is that a detected signboard is rectangular. We evaluate our methods on both simulation images and real scene images. Experimental results demonstrate the effectiveness of the proposed methods.

Paper Details

Date Published: 11 October 2000
PDF: 10 pages
Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); doi: 10.1117/12.403761
Show Author Affiliations
Yongmei Liu, RIKEN--The Institute of Physical and Chemical Research (Japan)
Tsuyoshi Yamamura, Aichi Prefectural Univ. (Japan)
Toshimitsu Tanaka, Meijo Univ. (Japan)
Noboru Ohnishi, RIKEN--The Institute of Physical and Chemical Research and Nagoya Univ. (Japan)


Published in SPIE Proceedings Vol. 4197:
Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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