11 October 2000 Identification and distortion rectification of signboards in real scene image for robot navigation
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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.
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Yongmei Liu, Yongmei Liu, Tsuyoshi Yamamura, Tsuyoshi Yamamura, Toshimitsu Tanaka, Toshimitsu Tanaka, Noboru Ohnishi, 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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