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摘要: 直线提取是基于特征的模式识别的一个重要步骤.由于图像特征点的离散误差和特征 点提取过程中的位移现象,使得由二图像点所确定的直线的参数随之产生某种不确定性.该文 比较系统地研究了这种不确定性的分布,并讨论了这些理论结果在计算机视觉中的应用.据作 者所知,该文结果在其它地方还没有过类似的报导.Abstract: The line extraction is an important step in feature based recognition techniques. Due to discretization error of image points and inevitable location shifts embedded in feature extraction processes, the parameters of a line determined by two feature points must possess some uncertainties. This paper quantitatively studies the distribution of such uncertainties, and discusses its useful applications in computer vision. To our knowledge, such results seem original, and did not appear in the literature previously.
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Key words:
- Line extraction /
- uncertainty /
- Hough transform
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