Paper
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 +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongmei Liu, Tsuyoshi Yamamura, Toshimitsu Tanaka, and 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); https://doi.org/10.1117/12.403761
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KEYWORDS
Cameras

Distortion

Imaging systems

Mobile robots

Navigation systems

Image processing

Global Positioning System

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