제어로봇시스템학회:학술대회논문집
- 1996.10b
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- Pages.299-301
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- 1996
Neural network based distortion correction of wide angle lens
신경회로망을 이용한 광각렌즈의 왜곡보정
Abstract
Since a standard lens has small sight angle, a fish-eye lens can be used in order to obtain wide sight angle for the robot vision system. In spite of the advantage, the image through the lens has variable resolution; the central information of the lens is of high resolution, but the peripheral information is of low resolution. Owing to this difference of resolution, the variable resolution image should be transformed to a uniform resolution image in order to determine the positions of the objects in the image. In this work, the correction method for the distorted image is presented and the performance is analyzed. Furthermore, the camera with a fish eye lens can be used to determine the real world coordinates. The performance is shown through experiments.