Identification and distortion rectification of signboards in real scene image for robot navigation

Yongmei Liu; Tsuyoshi Yamamura; Toshimitsu Tanaka; Noboru Ohnishi

doi:10.1117/12.403761

11 October 2000 Identification and distortion rectification of signboards in real scene image for robot navigation

Yongmei Liu; Tsuyoshi Yamamura; Toshimitsu Tanaka; Noboru Ohnishi;

Author Affiliations +

Proceedings Volume 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision; (2000) https://doi.org/10.1117/12.403761
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

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.

Citation Download Citation

Yongmei Liu, Tsuyoshi Yamamura, Toshimitsu Tanaka, Noboru Ohnishi, "Identification and distortion rectification of signboards in real scene image for robot navigation", Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); doi: 10.1117/12.403761; https://doi.org/10.1117/12.403761

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